Year |
Citation |
Score |
2023 |
Mwangi M, Verbeke G, Njagi EN, Florez AJ, Mwalili S, Ivanova A, Bukania ZN, Molenberghs G. Evaluation of a flexible piecewise linear mixed-effects model in the analysis of randomized cross-over trials. Pharmaceutical Statistics. PMID 38146135 DOI: 10.1002/pst.2357 |
0.339 |
|
2023 |
Geroldinger M, Verbeeck J, Hooker AC, Thiel KE, Molenberghs G, Nyberg J, Bauer J, Laimer M, Wally V, Bathke AC, Zimmermann G. Statistical recommendations for count, binary, and ordinal data in rare disease cross-over trials. Orphanet Journal of Rare Diseases. 18: 391. PMID 38115074 DOI: 10.1186/s13023-023-02990-1 |
0.306 |
|
2023 |
Verbeeck J, Geroldinger M, Thiel K, Hooker AC, Ueckert S, Karlsson M, Bathke AC, Bauer JW, Molenberghs G, Zimmermann G. How to analyze continuous and discrete repeated measures in small-sample cross-over trials? Biometrics. PMID 37587671 DOI: 10.1111/biom.13920 |
0.303 |
|
2023 |
Loedy N, Coletti P, Wambua J, Hermans L, Willem L, Jarvis CI, Wong KLM, Edmunds WJ, Robert A, Leclerc QJ, Gimma A, Molenberghs G, Beutels P, Faes C, Hens N. Longitudinal social contact data analysis: insights from 2 years of data collection in Belgium during the COVID-19 pandemic. Bmc Public Health. 23: 1298. PMID 37415096 DOI: 10.1186/s12889-023-16193-7 |
0.433 |
|
2023 |
Nguyen MH, Nguyen THT, Molenberghs G, Abrams S, Hens N, Faes C. The impact of national and international travel on spatio-temporal transmission of SARS-CoV-2 in Belgium in 2021. Bmc Infectious Diseases. 23: 428. PMID 37355572 DOI: 10.1186/s12879-023-08368-9 |
0.397 |
|
2023 |
Ensoy-Musoro C, Nguyen MH, Hens N, Molenberghs G, Faes C. Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities. Spatial and Spatio-Temporal Epidemiology. 45: 100568. PMID 37301589 DOI: 10.1016/j.sste.2023.100568 |
0.441 |
|
2022 |
Vranckx M, Faes C, Molenberghs G, Hens N, Beutels P, Van Damme P, Aerts J, Petrof O, Pepermans K, Neyens T. A spatial model to jointly analyze self-reported survey data of COVID-19 symptoms and official COVID-19 incidence data. Biometrical Journal. Biometrische Zeitschrift. PMID 35818698 DOI: 10.1002/bimj.202100186 |
0.475 |
|
2022 |
Molenberghs G, Faes C, Verbeeck J, Deboosere P, Abrams S, Willem L, Aerts J, Theeten H, Devleesschauwer B, Bustos Sierra N, Renard F, Herzog S, Lusyne P, Van der Heyden J, Van Oyen H, et al. COVID-19 mortality, excess mortality, deaths per million and infection fatality ratio, Belgium, 9 March 2020 to 28 June 2020. Euro Surveillance : Bulletin Europeen Sur Les Maladies Transmissibles = European Communicable Disease Bulletin. 27. PMID 35177167 DOI: 10.2807/1560-7917.ES.2022.27.7.2002060 |
0.399 |
|
2021 |
Dutta S, Molenberghs G, Chakraborty A. Joint modelling of longitudinal response and time-to-event data using conditional distributions: a Bayesian perspective. Journal of Applied Statistics. 49: 2228-2245. PMID 35755088 DOI: 10.1080/02664763.2021.1897971 |
0.319 |
|
2021 |
Verbeeck J, Faes C, Neyens T, Hens N, Verbeke G, Deboosere P, Molenberghs G. A linear mixed model to estimate COVID-19-induced excess mortality. Biometrics. PMID 34694627 DOI: 10.1111/biom.13578 |
0.435 |
|
2021 |
Versporten A, Bruyndonckx R, Adriaenssens N, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of tetracyclines, sulphonamides and trimethoprim, and other antibacterials in the community, European Union/European Economic Area, 1997-2017. The Journal of Antimicrobial Chemotherapy. 76: ii45-ii59. PMID 34312660 DOI: 10.1093/jac/dkab177 |
0.415 |
|
2021 |
Bruyndonckx R, Hoxha A, Quinten C, Ayele GM, Coenen S, Versporten A, Adriaenssens N, Muller A, Heuer O, Monnet DL, Goossens H, Molenberghs G, Weist K, Hens N. Change-points in antibiotic consumption in the community, European Union/European Economic Area, 1997-2017. The Journal of Antimicrobial Chemotherapy. 76: ii68-ii78. PMID 34312659 DOI: 10.1093/jac/dkab179 |
0.41 |
|
2021 |
Versporten A, Bruyndonckx R, Adriaenssens N, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of cephalosporins in the community, European Union/European Economic Area, 1997-2017. The Journal of Antimicrobial Chemotherapy. 76: ii22-ii29. PMID 34312658 DOI: 10.1093/jac/dkab174 |
0.415 |
|
2021 |
Bruyndonckx R, Adriaenssens N, Hens N, Versporten A, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of penicillins in the community, European Union/European Economic Area, 1997-2017. The Journal of Antimicrobial Chemotherapy. 76: ii14-ii21. PMID 34312657 DOI: 10.1093/jac/dkab173 |
0.411 |
|
2021 |
Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Quality appraisal of antibiotic consumption in the community, European Union/European Economic Area, 2009 and 2017. The Journal of Antimicrobial Chemotherapy. 76: ii60-ii67. PMID 34312656 DOI: 10.1093/jac/dkab178 |
0.391 |
|
2021 |
Bruyndonckx R, Coenen S, Adriaenssens N, Versporten A, Monnet DL, Goossens H, Molenberghs G, Weist K, Hens N. Analysing the trend over time of antibiotic consumption in the community: a tutorial on the detection of common change-points. The Journal of Antimicrobial Chemotherapy. 76: ii79-ii85. PMID 34312655 DOI: 10.1093/jac/dkab180 |
0.419 |
|
2021 |
Bruyndonckx R, Adriaenssens N, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of antibiotics in the community, European Union/European Economic Area, 1997-2017. The Journal of Antimicrobial Chemotherapy. 76: ii7-ii13. PMID 34312654 DOI: 10.1093/jac/dkab172 |
0.414 |
|
2021 |
Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of macrolides, lincosamides and streptogramins in the community, European Union/European Economic Area, 1997-2017. The Journal of Antimicrobial Chemotherapy. 76: ii30-ii36. PMID 34312653 DOI: 10.1093/jac/dkab175 |
0.409 |
|
2021 |
Adriaenssens N, Bruyndonckx R, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of quinolones in the community, European Union/European Economic Area, 1997-2017. The Journal of Antimicrobial Chemotherapy. 76: ii37-ii44. PMID 34312652 DOI: 10.1093/jac/dkab176 |
0.41 |
|
2021 |
Bruyndonckx R, Adriaenssens N, Versporten A, Hens N, Monnet DL, Molenberghs G, Goossens H, Weist K, Coenen S. Consumption of antibiotics in the community, European Union/European Economic Area, 1997-2017: data collection, management and analysis. The Journal of Antimicrobial Chemotherapy. 76: ii2-ii6. PMID 34312651 DOI: 10.1093/jac/dkab171 |
0.421 |
|
2020 |
Neyens T, Faes C, Vranckx M, Pepermans K, Hens N, Van Damme P, Molenberghs G, Aerts J, Beutels P. Can COVID-19 symptoms as reported in a large-scale online survey be used to optimise spatial predictions of COVID-19 incidence risk in Belgium? Spatial and Spatio-Temporal Epidemiology. 35: 100379. PMID 33138946 DOI: 10.1016/j.sste.2020.100379 |
0.424 |
|
2020 |
Molenberghs G, Buyse M, Abrams S, Hens N, Beutels P, Faes C, Verbeke G, Van Damme P, Goossens H, Neyens T, Herzog S, Theeten H, Pepermans K, Abad AA, Van Keilegom I, et al. Infectious diseases epidemiology, quantitative methodology, and clinical research in the midst of the COVID-19 pandemic: Perspective from a European country. Contemporary Clinical Trials. 99: 106189. PMID 33132155 DOI: 10.1016/j.cct.2020.106189 |
0.467 |
|
2020 |
Meyvisch P, Alonso A, Van der Elst W, Molenberghs G. On the relationship between association and surrogacy when both the surrogate and true endpoint are binary outcomes. Statistics in Medicine. PMID 32875590 DOI: 10.1002/Sim.8698 |
0.324 |
|
2020 |
Hens N, Vranck P, Molenberghs G. The COVID-19 epidemic, its mortality, and the role of non-pharmaceutical interventions. European Heart Journal. Acute Cardiovascular Care. 2048872620924922. PMID 32352314 DOI: 10.1177/2048872620924922 |
0.499 |
|
2020 |
Flórez AJ, Alonso Abad A, Molenberghs G, Van Der Elst W. Generating random correlation matrices with fixed values: An application to the evaluation of multivariate surrogate endpoints Computational Statistics & Data Analysis. 142: 106834. DOI: 10.1016/J.Csda.2019.106834 |
0.332 |
|
2019 |
Derdelinckx J, Mansilla MJ, De Laere M, Lee WP, Navarro-Barriuso J, Wens I, Nkansah I, Daans J, De Reu H, Jolanta Keliris A, Van Audekerke J, Vanreusel V, Pieters Z, Van der Linden A, Verhoye M, ... Molenberghs G, et al. Clinical and immunological control of experimental autoimmune encephalomyelitis by tolerogenic dendritic cells loaded with MOG-encoding mRNA. Journal of Neuroinflammation. 16: 167. PMID 31416452 DOI: 10.1186/S12974-019-1541-1 |
0.443 |
|
2019 |
Rockhold FW, Lindblad A, Siegel JP, Molenberghs G. University of Pennsylvania 11th annual conference on statistical issues in clinical trials: Estimands, missing data and sensitivity analysis (morning panel session). Clinical Trials (London, England). 16: 350-362. PMID 31303021 DOI: 10.1177/1740774519853573 |
0.338 |
|
2019 |
Ratitch B, Goel N, Mallinckrodt C, Bell J, Bartlett JW, Molenberghs G, Singh P, Lipkovich I, O'Kelly M. Defining Efficacy Estimands in Clinical Trials: Examples Illustrating ICH E9(R1) Guidelines. Therapeutic Innovation & Regulatory Science. 2168479019841316. PMID 30966778 DOI: 10.1177/2168479019841316 |
0.343 |
|
2019 |
Mallinckrodt CH, Bell J, Liu G, Ratitch B, O'Kelly M, Lipkovich I, Singh P, Xu L, Molenberghs G. Aligning Estimators With Estimands in Clinical Trials: Putting the ICH E9(R1) Guidelines Into Practice. Therapeutic Innovation & Regulatory Science. 2168479019836979. PMID 30955353 DOI: 10.1177/2168479019836979 |
0.333 |
|
2019 |
Ratitch B, Bell J, Mallinckrodt C, Bartlett JW, Goel N, Molenberghs G, O'Kelly M, Singh P, Lipkovich I. Choosing Estimands in Clinical Trials: Putting the ICH E9(R1) Into Practice. Therapeutic Innovation & Regulatory Science. 2168479019838827. PMID 30947539 DOI: 10.1177/2168479019838827 |
0.337 |
|
2019 |
Molenberghs G, Poveda AF, Kassahun W, Neyens T, Faes C, Verbeke G. Response to comments on "Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros". Statistics in Medicine. 37: 1942-1946. PMID 29732614 DOI: 10.1002/Sim.7596 |
0.369 |
|
2019 |
Nassiri V, Lovik A, Molenberghs G, Verbeke G. On using multiple imputation for exploratory factor analysis of incomplete data. Behavior Research Methods. 50: 501-517. PMID 29392587 DOI: 10.3758/S13428-017-1013-4 |
0.383 |
|
2019 |
Shkedy Z, Straetemans R, Molenberghs G, Desmidt M, Vinken P, Goeminne N, Coussement W, Poel BVD, Bijnens L. MODELING ANTI-KLH ELISA DATA USING TWO-STAGE AND MIXED EFFECTS MODELS IN SUPPORT OF IMMUNOTOXICOLOGICAL STUDIES. Journal of Biopharmaceutical Statistics. 15: 205-223. PMID 28881177 DOI: 10.1081/Bip-200048815 |
0.369 |
|
2019 |
Shkedy Z, Molenberghs G, Craenendonck HV, Steckler T, Bijnens L. A HIERARCHICAL BINOMIAL-POISSON MODEL FOR THE ANALYSIS OF A CROSSOVER DESIGN FOR CORRELATED BINARY DATA WHEN THE NUMBER OF TRIALS IS DOSE-DEPENDENT. Journal of Biopharmaceutical Statistics. 15: 225-239. PMID 28881176 DOI: 10.1081/Bip-200049825 |
0.411 |
|
2019 |
Lipsitz S, Parzen M, Molenberghs G, Ibrahim J. Testing for bias in weighted estimating equations. Biostatistics (Oxford, England). 2: 295-307. PMID 12933540 DOI: 10.1093/Biostatistics/2.3.295 |
0.329 |
|
2019 |
Yokota R, Looman C, Nusselder W, Oyen H, Molenberghs G. addhaz: Contribution of Chronic Diseases to the Disability Burden Using R The R Journal. 10: 75. DOI: 10.32614/Rj-2018-055 |
0.352 |
|
2018 |
Bhattacharyya A, Gallo P, Crisp A, LaVange L, Molenberghs G, Pétavy F, Seltzer J. The changing landscape of data monitoring committees-Perspectives from regulators, members, and sponsors. Biometrical Journal. Biometrische Zeitschrift. PMID 30589102 DOI: 10.1002/Bimj.201700307 |
0.341 |
|
2018 |
Meyvisch P, Alonso A, Van der Elst W, Molenberghs G. Assessing the predictive value of a binary surrogate for a binary true endpoint based on the minimum probability of a prediction error. Pharmaceutical Statistics. PMID 30575256 DOI: 10.1002/Pst.1924 |
0.301 |
|
2018 |
Wang MD, Liu J, Molenberghs G, Mallinckrodt C. An evaluation of the trimmed mean approach in clinical trials with dropout. Pharmaceutical Statistics. PMID 29624854 DOI: 10.1002/Pst.1858 |
0.387 |
|
2018 |
Berckmoes B, Molenberghs G. On the Asymptotic Behavior of the Contaminated Sample Mean Mathematical Methods of Statistics. 27: 312-323. DOI: 10.3103/S106653071804004X |
0.315 |
|
2018 |
Hermans L, Ivanova A, Sotto C, Molenberghs G, Verbeke G, Kenward MG. Doubly robust pseudo-likelihood for incomplete hierarchical binary data Statistical Modelling. 20: 42-57. DOI: 10.1177/1471082X18808611 |
0.447 |
|
2018 |
Luyts M, Molenberghs G, Verbeke G, Matthijs K, Ribeiro Jr EE, Demétrio CG, Hinde J. A Weibull-count approach for handling under- and overdispersed longitudinal/clustered data structures Statistical Modelling. 19: 569-589. DOI: 10.1177/1471082X18789992 |
0.445 |
|
2018 |
Hermans L, Molenberghs G, Aerts M, Kenward MG, Verbeke G. A Tutorial on the Practical Use and Implication of Complete Sufficient Statistics International Statistical Review. 86: 403-414. DOI: 10.1111/Insr.12261 |
0.393 |
|
2018 |
Neyens T, Faes C, Molenberghs G. Integrated nested Laplace approximation for the analysis of count data via the combined model: A simulation study Communications in Statistics - Simulation and Computation. 48: 819-836. DOI: 10.1080/03610918.2017.1400053 |
0.386 |
|
2018 |
Berckmoes B, Ivanova A, Molenberghs G. On the sample mean after a group sequential trial Computational Statistics & Data Analysis. 125: 104-118. DOI: 10.1016/J.Csda.2018.03.016 |
0.374 |
|
2017 |
Rakhmawati TW, Molenberghs G, Verbeke G, Faes C. Local influence diagnostics for hierarchical finite-mixture random-effects models. Biometrical Journal. Biometrische Zeitschrift. 60: 369-380. PMID 29265409 DOI: 10.1002/Bimj.201600203 |
0.392 |
|
2017 |
Cadarso Suárez C, Klein N, Kneib T, Molenberghs G, Rizopoulos D. Editorial "Joint modeling of longitudinal and time-to-event data and beyond". Biometrical Journal. Biometrische Zeitschrift. 59: 1101-1103. PMID 29139604 DOI: 10.1002/Bimj.201700180 |
0.339 |
|
2017 |
Rizopoulos D, Molenberghs G, Lesaffre EMEH. Dynamic predictions with time-dependent covariates in survival analysis using joint modeling and landmarking. Biometrical Journal. Biometrische Zeitschrift. 59: 1261-1276. PMID 28792080 DOI: 10.1002/Bimj.201600238 |
0.334 |
|
2017 |
Nassiri V, Ivanova A, Molenberghs G, Verbeke G. Fast precision estimation in high-dimensional multivariate joint models. Biometrical Journal. Biometrische Zeitschrift. 59: 1221-1231. PMID 28620935 DOI: 10.1002/Bimj.201600241 |
0.332 |
|
2017 |
Bruckers L, Molenberghs G, Dendale P. Clustering multiply imputed multivariate high-dimensional longitudinal profiles. Biometrical Journal. Biometrische Zeitschrift. 59: 998-1015. PMID 28436052 DOI: 10.1002/Bimj.201500027 |
0.338 |
|
2017 |
Abrams S, Aerts M, Molenberghs G, Hens N. Parametric overdispersed frailty models for current status data. Biometrics. PMID 28346819 DOI: 10.1111/Biom.12692 |
0.591 |
|
2017 |
Yokota RTC, Van Oyen H, Looman CWN, Nusselder WJ, Otava M, Kifle YW, Molenberghs G. Multinomial additive hazard model to assess the disability burden using cross-sectional data. Biometrical Journal. Biometrische Zeitschrift. 59: 901-917. PMID 28332222 DOI: 10.1002/Bimj.201600157 |
0.339 |
|
2017 |
Van der Elst W, Molenberghs G, van Tetering M, Jolles J. Establishing normative data for multi-trial memory tests: the multivariate regression-based approach. The Clinical Neuropsychologist. 1-15. PMID 28276864 DOI: 10.1080/13854046.2017.1294202 |
0.341 |
|
2017 |
Njage PM, Sawe CT, Onyango CM, Habib I, Njagi EN, Aerts M, Molenberghs G. Microbial Performance of Food Safety Control and Assurance Activities in a Fresh Produce Processing Sector Measured Using a Microbial Assessment Scheme and Statistical Modeling. Journal of Food Protection. 80: 177-188. PMID 28221882 DOI: 10.4315/0362-028X.Jfp-16-233 |
0.313 |
|
2017 |
Molenberghs G, Verbeke G, Demétrio CGB. Hierarchical models with normal and conjugate random effects : a review Sort-Statistics and Operations Research Transactions. 1: 191-254. DOI: 10.2436/20.8080.02.58 |
0.431 |
|
2017 |
Hermans L, Nassiri V, Molenberghs G, Kenward MG, Van der Elst W, Aerts M, Verbeke G. Fast, closed-form, and efficient estimators for hierarchical models with AR(1) covariance and unequal cluster sizes Communications in Statistics - Simulation and Computation. 47: 1492-1505. DOI: 10.1080/03610918.2017.1316395 |
0.332 |
|
2017 |
Oliveira IRC, Molenberghs G, Verbeke G, Demétrio CGB, Dias CTdS. Negative variance components for non-negative hierarchical data with correlation, over-, and/or underdispersion Journal of Applied Statistics. 44: 1047-1063. DOI: 10.1080/02664763.2016.1191624 |
0.386 |
|
2016 |
Van der Elst W, Molenberghs G, Hilgers RD, Verbeke G, Heussen N. Estimating the reliability of repeatedly measured endpoints based on linear mixed-effects models. A tutorial. Pharmaceutical Statistics. PMID 27681820 DOI: 10.1002/Pst.1787 |
0.41 |
|
2016 |
Bunouf P, Molenberghs G. Implementation of pattern-mixture models in randomized clinical trials. Pharmaceutical Statistics. PMID 27658505 DOI: 10.1002/Pst.1780 |
0.428 |
|
2016 |
Reddy T, Molenberghs G, Njagi EN, Aerts M. A novel approach to estimation of the time to biomarker threshold: applications to HIV. Pharmaceutical Statistics. PMID 27580636 DOI: 10.1002/Pst.1774 |
0.333 |
|
2016 |
Mallinckrodt C, Molenberghs G, Rathmann S. Choosing estimands in clinical trials with missing data. Pharmaceutical Statistics. PMID 27492760 DOI: 10.1002/Pst.1765 |
0.396 |
|
2016 |
Drikvandi R, Verbeke G, Molenberghs G. Diagnosing misspecification of the random-effects distribution in mixed models. Biometrics. PMID 27377556 DOI: 10.1111/Biom.12551 |
0.411 |
|
2016 |
Rakhmawati TW, Molenberghs G, Verbeke G, Faes C. Local influence diagnostics for hierarchical count data models with overdispersion and excess zeros. Biometrical Journal. Biometrische Zeitschrift. PMID 27356111 DOI: 10.1002/Bimj.201500162 |
0.408 |
|
2016 |
Milanzi E, Molenberghs G, Alonso A, Kenward MG, Verbeke G, Tsiatis AA, Davidian M. Properties of Estimators in Exponential Family Settings with Observation-based Stopping Rules. Journal of Biometrics & Biostatistics. 7. PMID 27175309 DOI: 10.4172/2155-6180.1000272 |
0.351 |
|
2016 |
Bruckers L, Molenberghs G, Verbeke G, Geys H. Detecting influential observations in a model-based cluster analysis. Statistical Methods in Medical Research. PMID 26994214 DOI: 10.1177/0962280216634112 |
0.395 |
|
2016 |
Oliveira IR, Molenberghs G, Demétrio CG, Dias CT, Giolo SR, Andrade MC. Quantifying intraclass correlations for count and time-to-event data. Biometrical Journal. Biometrische Zeitschrift. PMID 26899931 DOI: 10.1002/Bimj.201500093 |
0.456 |
|
2016 |
Alonso A, Van der Elst W, Molenberghs G, Buyse M, Burzykowski T. An information-theoretic approach for the evaluation of surrogate endpoints based on causal inference. Biometrics. PMID 26864244 DOI: 10.1111/Biom.12483 |
0.383 |
|
2016 |
Kalema G, Molenberghs G. Generating correlated and/or overdispersed count data: A SAS implementation Journal of Statistical Software. 70. DOI: 10.18637/Jss.V070.C01 |
0.437 |
|
2016 |
Jiang H, Kulkarni PM, Mallinckrodt CH, Shurzinske L, Molenberghs G, Lipkovich I. Covariate Adjustment for Logistic Regression Analysis of Binary Clinical Trial Data Statistics in Biopharmaceutical Research. 9: 126-134. DOI: 10.1080/19466315.2016.1234973 |
0.381 |
|
2016 |
Kenward MG, Molenberghs G. A taxonomy of mixing and outcome distributions based on conjugacy and bridging Communications in Statistics - Theory and Methods. 45: 1953-1968. DOI: 10.1080/03610926.2013.870205 |
0.349 |
|
2016 |
Rakhmawati TW, Molenberghs G, Verbeke G, Faes C. Local influence diagnostics for generalized linear mixed models with overdispersion Journal of Applied Statistics. 1-22. DOI: 10.1080/02664763.2016.1182128 |
0.413 |
|
2016 |
Kombo AY, Mwambi H, Molenberghs G. Multiple imputation for ordinal longitudinal data with monotone missing data patterns Journal of Applied Statistics. 1-18. DOI: 10.1080/02664763.2016.1168370 |
0.393 |
|
2016 |
Rakhmawati TW, Molenberghs G, Verbeke G, Faes C. Local influence diagnostics for incomplete overdispersed longitudinal counts Journal of Applied Statistics. 43: 1722-1737. DOI: 10.1080/02664763.2015.1117594 |
0.402 |
|
2016 |
De Ridder J, Molenberghs G, Eyer L, Aerts C. Asteroseismic versusGaiadistances: A first comparison Astronomy & Astrophysics. 595: L3. DOI: 10.1051/0004-6361/201629799 |
0.344 |
|
2016 |
Kalema G, Molenberghs G, Kassahun W. Second-order generalized estimating equations for correlated count data Computational Statistics. 31: 749-770. DOI: 10.1007/S00180-015-0599-1 |
0.323 |
|
2015 |
Van der Elst W, Molenberghs G, Alonso A. Exploring the relationship between the causal-inference and meta-analytic paradigms for the evaluation of surrogate endpoints. Statistics in Medicine. PMID 26612787 DOI: 10.1002/Sim.6807 |
0.357 |
|
2015 |
Aelvoet W, Terryn N, Blommaert A, Molenberghs G, Hens N, De Smet F, Callens M, Beutels P. Community-acquired pneumonia (CAP) hospitalizations and deaths: is there a role for quality improvement through inter-hospital comparisons? International Journal For Quality in Health Care : Journal of the International Society For Quality in Health Care / Isqua. PMID 26590376 DOI: 10.1093/Intqhc/Mzv092 |
0.445 |
|
2015 |
Milanzi E, Molenberghs G, Alonso A, Kenward MG, Tsiatis AA, Davidian M, Verbeke G. Estimation After a Group Sequential Trial. Statistics in Biosciences. 7: 187-205. PMID 26478751 DOI: 10.1007/S12561-014-9112-6 |
0.332 |
|
2015 |
Ivanova A, Molenberghs G, Verbeke G. Fast and highly efficient pseudo-likelihood methodology for large and complex ordinal data. Statistical Methods in Medical Research. PMID 26446001 DOI: 10.1177/0962280215608213 |
0.421 |
|
2015 |
Ivanova A, Molenberghs G, Verbeke G. Mixed models approaches for joint modeling of different types of responses. Journal of Biopharmaceutical Statistics. 1-18. PMID 26098411 DOI: 10.1080/10543406.2015.1052487 |
0.458 |
|
2015 |
Bruckers L, Molenberghs G, Drinkenburg P, Geys H. A clustering algorithm for multivariate longitudinal data. Journal of Biopharmaceutical Statistics. 1-17. PMID 26010743 DOI: 10.1080/10543406.2015.1052476 |
0.34 |
|
2015 |
Ip EH, Efendi A, Molenberghs G, Bertoni AG. Comparison of risks of cardiovascular events in the elderly using standard survival analysis and multiple-events and recurrent-events methods. Bmc Medical Research Methodology. 15: 15. PMID 25887387 DOI: 10.1186/S12874-015-0004-3 |
0.313 |
|
2015 |
Jiang H, Kulkarni PM, Mallinckrodt CH, Shurzinske L, Molenberghs G, Lipkovich I. To adjust or not to adjust for baseline when analyzing repeated binary responses? The case of complete data when treatment comparison at study end is of interest. Pharmaceutical Statistics. 14: 262-71. PMID 25866149 DOI: 10.1002/Pst.1682 |
0.405 |
|
2015 |
Alonso A, Milanzi E, Molenberghs G, Buyck C, Bijnens L. A new modeling approach for quantifying expert opinion in the drug discovery process. Statistics in Medicine. 34: 1590-604. PMID 25705858 DOI: 10.1002/Sim.6459 |
0.4 |
|
2015 |
Buyse M, Molenberghs G, Paoletti X, Oba K, Alonso A, Van der Elst W, Burzykowski T. Statistical evaluation of surrogate endpoints with examples from cancer clinical trials. Biometrical Journal. Biometrische Zeitschrift. PMID 25682941 DOI: 10.1002/Bimj.201400049 |
0.355 |
|
2015 |
Alonso A, Van der Elst W, Molenberghs G, Buyse M, Burzykowski T. On the relationship between the causal-inference and meta-analytic paradigms for the validation of surrogate endpoints. Biometrics. 71: 15-24. PMID 25274284 DOI: 10.1111/Biom.12245 |
0.345 |
|
2015 |
Donneau AF, Mauer M, Lambert P, Molenberghs G, Albert A. Simulation-based study comparing multiple imputation methods for non-monotone missing ordinal data in longitudinal settings. Journal of Biopharmaceutical Statistics. 25: 570-601. PMID 24905056 DOI: 10.1080/10543406.2014.920864 |
0.441 |
|
2015 |
Molenberghs G, Verbeke G, Efendi A, Braekers R, Demétrio CG. A combined gamma frailty and normal random-effects model for repeated, overdispersed time-to-event data. Statistical Methods in Medical Research. 24: 434-52. PMID 24525486 DOI: 10.1177/0962280214520730 |
0.402 |
|
2015 |
Milanzi E, Molenberghs G, Alonso A, Verbeke G, De Boeck P. Reliability measures in item response theory: manifest versus latent correlation functions. The British Journal of Mathematical and Statistical Psychology. 68: 43-64. PMID 24484622 DOI: 10.1111/Bmsp.12033 |
0.316 |
|
2015 |
Bunouf P, Molenberghs G, Grouin JM, Thijs H. A SAS program combining R functionalities to implement pattern-mixture models Journal of Statistical Software. 68. DOI: 10.18637/Jss.V068.I08 |
0.662 |
|
2015 |
Wang S, Molenberghs G, Spiessens C, De Neubourg D, Soubry A. Predicting pregnancy rate and live birth rate in the IVF clinic by analysing patient profiles Archives of Public Health. 73. DOI: 10.1186/2049-3258-73-S1-P46 |
0.34 |
|
2015 |
De Smedt T, Simons K, Van Nieuwenhuyse A, Molenberghs G. Comparing MCMC and INLA for disease mapping with Bayesian hierarchical models Archives of Public Health. 73. DOI: 10.1186/2049-3258-73-S1-O2 |
0.379 |
|
2015 |
Abad AA, Elst WVd, Molenberghs G. Validating predictors of therapeutic success: A causal inference approach Statistical Modelling. 15: 619-636. DOI: 10.1177/1471082X15586286 |
0.305 |
|
2015 |
Poleto FZ, Paulino CD, Singer JM, Molenberghs G. Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness Statistical Modelling. 15: 1-23. DOI: 10.1177/1471082X14549290 |
0.432 |
|
2015 |
Jiang H, Kulkarni PM, Mallinckrodt CH, Shurzinske L, Molenberghs G, Lipkovich I. Adjusting for Baseline on the Analysis of Repeated Binary Responses With Missing Data Statistics in Biopharmaceutical Research. 7: 238-250. DOI: 10.1080/19466315.2015.1067251 |
0.444 |
|
2015 |
Donneau AF, Mauer M, Molenberghs G, Albert A. A simulation study comparing multiple imputation methods for incomplete longitudinal ordinal data Communications in Statistics: Simulation and Computation. 44: 1311-1338. DOI: 10.1080/03610918.2013.818690 |
0.405 |
|
2015 |
Aregay M, Shkedy Z, Molenberghs G. Comparison of additive and multiplicative bayesian models for longitudinal count data with overdispersion parameters: A simulation study Communications in Statistics: Simulation and Computation. 44: 454-473. DOI: 10.1080/03610918.2013.781629 |
0.432 |
|
2015 |
Rizzato FB, Leandro RA, Demétrio CG, Molenberghs G. A Bayesian approach to analyse overdispersed longitudinal count data Journal of Applied Statistics. 43: 2085-2109. DOI: 10.1080/02664763.2015.1126812 |
0.446 |
|
2015 |
Van der Elst W, Hermans L, Verbeke G, Kenward M, Nassiri V, Molenberghs G. Unbalanced cluster sizes and rates of convergence in mixed-effects models for clustered data Journal of Statistical Computation and Simulation. 86: 2123-2139. DOI: 10.1080/00949655.2015.1103738 |
0.339 |
|
2015 |
Satty A, Mwambi H, Molenberghs G. Different methods for handling incomplete longitudinal binary outcome due to missing at random dropout Statistical Methodology. 24: 12-27. DOI: 10.1016/J.Stamet.2014.10.002 |
0.419 |
|
2014 |
Efendi A, Drikvandi R, Verbeke G, Molenberghs G. A goodness-of-fit test for the random-effects distribution in mixed models. Statistical Methods in Medical Research. PMID 25539840 DOI: 10.1177/0962280214564721 |
0.377 |
|
2014 |
Iddi S, Molenberghs G, Aregay M, Kalema G. Empirical Bayes estimates for correlated hierarchical data with overdispersion. Pharmaceutical Statistics. 13: 316-26. PMID 25181392 DOI: 10.1002/Pst.1635 |
0.446 |
|
2014 |
Kassahun W, Neyens T, Molenberghs G, Faes C, Verbeke G. Marginalized multilevel hurdle and zero-inflated models for overdispersed and correlated count data with excess zeros. Statistics in Medicine. 33: 4402-19. PMID 24957791 DOI: 10.1002/Sim.6237 |
0.449 |
|
2014 |
Njagi EN, Molenberghs G, Kenward MG, Verbeke G, Rizopoulos D. A characterization of missingness at random in a generalized shared-parameter joint modeling framework for longitudinal and time-to-event data, and sensitivity analysis. Biometrical Journal. Biometrische Zeitschrift. 56: 1001-15. PMID 24947904 DOI: 10.1002/Bimj.201300028 |
0.42 |
|
2014 |
Habteab Ghebretinsae A, Molenberghs G, Dmitrienko A, Offen W, Sethuraman G. Assessment of type I error rate associated with dose-group switching in a longitudinal Alzheimer trial. Journal of Biopharmaceutical Statistics. 24: 660-84. PMID 24697817 DOI: 10.1080/10543406.2014.888570 |
0.302 |
|
2014 |
Bruyndonckx R, Hens N, Aerts M, Goossens H, Molenberghs G, Coenen S. Measuring trends of outpatient antibiotic use in Europe: jointly modelling longitudinal data in defined daily doses and packages. The Journal of Antimicrobial Chemotherapy. 69: 1981-6. PMID 24623832 DOI: 10.1093/Jac/Dku063 |
0.539 |
|
2014 |
Ayele BT, Lipkovich I, Molenberghs G, Mallinckrodt CH. A multiple-imputation-based approach to sensitivity analyses and effectiveness assessments in longitudinal clinical trials. Journal of Biopharmaceutical Statistics. 24: 211-28. PMID 24605966 DOI: 10.1080/10543406.2013.859148 |
0.353 |
|
2014 |
Montoro AM, Cao R, Faes C, Molenberghs G, Espinosa N, Cudeiro J, Marino J. Cross nearest-spike interval based method to measure synchrony dynamics. Mathematical Biosciences and Engineering : Mbe. 11: 27-48. PMID 24245679 DOI: 10.3934/Mbe.2014.11.27 |
0.331 |
|
2014 |
Grobler AC, Matthews G, Molenberghs G. The impact of missing data on clinical trials: a re-analysis of a placebo controlled trial of Hypericum perforatum (St Johns wort) and sertraline in major depressive disorder. Psychopharmacology. 231: 1987-99. PMID 24232445 DOI: 10.1007/S00213-013-3344-X |
0.307 |
|
2014 |
Verbeke G, Fieuws S, Molenberghs G, Davidian M. The analysis of multivariate longitudinal data: a review. Statistical Methods in Medical Research. 23: 42-59. PMID 22523185 DOI: 10.1177/0962280212445834 |
0.389 |
|
2014 |
Molenberghs G, Kenward MG, Aerts M, Verbeke G, Tsiatis AA, Davidian M, Rizopoulos D. On random sample size, ignorability, ancillarity, completeness, separability, and degeneracy: sequential trials, random sample sizes, and missing data. Statistical Methods in Medical Research. 23: 11-41. PMID 22514029 DOI: 10.1177/0962280212445801 |
0.37 |
|
2014 |
Vannieuwenhuyze JTA, Loosveldt G, Molenberghs G. Evaluating mode effects in mixed-mode survey data using covariate adjustment models Journal of Official Statistics. 30: 1-21. DOI: 10.2478/Jos-2014-0001 |
0.347 |
|
2014 |
Milanzi E, Alonso A, Buyck C, Molenberghs G, Bijnens L. A permutational-splitting sample procedure to quantify expert opinion on clusters of chemical compounds using high-dimensional data The Annals of Applied Statistics. 8: 2319-2335. DOI: 10.1214/14-Aoas772 |
0.344 |
|
2014 |
Mallinckrodt C, Roger J, Chuang-Stein C, Molenberghs G, O'Kelly M, Ratitch B, Janssens M, Bunouf P. Recent Developments in the Prevention and Treatment of Missing Data Therapeutic Innovation and Regulatory Science. 48: 68-80. DOI: 10.1177/2168479013501310 |
0.385 |
|
2014 |
Kassahun W, Neyens T, Faes C, Molenberghs G, Verbeke G. A zero-inflated overdispersed hierarchical Poisson model Statistical Modelling: An International Journal. 14: 439-456. DOI: 10.1177/1471082X14524676 |
0.439 |
|
2014 |
Ivanova A, Molenberghs G, Verbeke G. A model for overdispersed hierarchical ordinal data Statistical Modelling. 14: 399-415. DOI: 10.1177/1471082X14522910 |
0.455 |
|
2014 |
Del Fava E, Shkedy Z, Aregay M, Molenberghs G. Modelling multivariate, overdispersed binomial data with additive and multiplicative random effects Statistical Modelling: An International Journal. 14: 99-133. DOI: 10.1177/1471082X13503450 |
0.398 |
|
2014 |
Aregay M, Shkedy Z, Molenberghs G, David M, Tibaldi F. Nonlinear Fractional Polynomials for Estimating Long-Term Persistence of Induced Anti-HPV Antibodies: A Hierarchical Bayesian Approach Statistics in Biopharmaceutical Research. 6: 199-212. DOI: 10.1080/19466315.2014.911201 |
0.342 |
|
2014 |
Kalema G, Molenberghs G. Pseudo-likelihood methodology for hierarchical count data Communications in Statistics - Theory and Methods. 43: 4790-4805. DOI: 10.1080/03610926.2012.744053 |
0.415 |
|
2014 |
Efendi A, Molenberghs G, Iddi S. A marginalized combined gamma frailty and normal random-effects model for repeated, overdispersed, time-to-event outcomes Communications in Statistics - Theory and Methods. 43: 4806-4828. DOI: 10.1080/03610926.2012.740125 |
0.426 |
|
2014 |
Vangeneugden T, Molenberghs G, Verbeke G, Demétrio CGB. Marginal correlation from logit- and probit-beta-normal models for hierarchical binary data Communications in Statistics - Theory and Methods. 43: 4164-4178. DOI: 10.1080/03610926.2012.709903 |
0.377 |
|
2014 |
Uranga R, Molenberghs G. Longitudinal conditional models with intermittent missingness: SAS code and applications Journal of Statistical Computation and Simulation. 84: 753-780. DOI: 10.1080/00949655.2012.725403 |
0.438 |
|
2014 |
Nooraee N, Molenberghs G, van den Heuvel ER. GEE for longitudinal ordinal data: Comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN Computational Statistics & Data Analysis. 77: 70-83. DOI: 10.1016/J.Csda.2014.03.009 |
0.358 |
|
2013 |
Ip EH, Molenberghs G, Chen SH, Goegebeur Y, De Boeck P. Functionally Unidimensional Item Response Models for Multivariate Binary Data. Multivariate Behavioral Research. 48: 534-62. PMID 26742004 DOI: 10.1080/00273171.2013.796281 |
0.376 |
|
2013 |
Efendi A, Molenberghs G. A multilevel model for hierarchical, repeated, and overdispersed time-to-event outcomes and its estimation strategies. Journal of Biopharmaceutical Statistics. 23: 1420-34. PMID 24138440 DOI: 10.1080/10543406.2013.834914 |
0.387 |
|
2013 |
Song T, Dong Q, Sankoh AJ, Molenberghs G. Evaluation of overall treatment effect in MMRM. Journal of Biopharmaceutical Statistics. 23: 1281-93. PMID 24138432 DOI: 10.1080/10543406.2013.834918 |
0.398 |
|
2013 |
Aregay M, Shkedy Z, Molenberghs G, David MP, Tibaldi F. Model-based estimates of long-term persistence of induced HPV antibodies: a flexible subject-specific approach. Journal of Biopharmaceutical Statistics. 23: 1228-48. PMID 24138429 DOI: 10.1080/10543406.2013.834917 |
0.343 |
|
2013 |
Njagi EN, Molenberghs G, Rizopoulos D, Verbeke G, Kenward MG, Dendale P, Willekens K. A flexible joint modeling framework for longitudinal and time-to-event data with overdispersion. Statistical Methods in Medical Research. PMID 23868542 DOI: 10.1177/0962280213495994 |
0.398 |
|
2013 |
Ghebretinsae AH, Faes C, Molenberghs G, De Boeck M, Geys H. A Bayesian, generalized frailty model for comet assays. Journal of Biopharmaceutical Statistics. 23: 618-36. PMID 23611199 DOI: 10.1080/10543406.2012.756499 |
0.468 |
|
2013 |
Efendi A, Molenberghs G, Njagi EN, Dendale P. A joint model for longitudinal continuous and time-to-event outcomes with direct marginal interpretation. Biometrical Journal. Biometrische Zeitschrift. 55: 572-88. PMID 23606452 DOI: 10.1002/Bimj.201200159 |
0.38 |
|
2013 |
Loeys T, Molenberghs G. Modeling actor and partner effects in dyadic data when outcomes are categorical. Psychological Methods. 18: 220-36. PMID 23458720 DOI: 10.1037/A0030640 |
0.4 |
|
2013 |
Verbeke G, Molenberghs G. The gradient function as an exploratory goodness-of-fit assessment of the random-effects distribution in mixed models. Biostatistics (Oxford, England). 14: 477-90. PMID 23376427 DOI: 10.1093/Biostatistics/Kxs059 |
0.398 |
|
2013 |
Van der Elst W, Molenberghs G, Van Boxtel MP, Jolles J. Establishing normative data for repeated cognitive assessment: a comparison of different statistical methods. Behavior Research Methods. 45: 1073-86. PMID 23344738 DOI: 10.3758/S13428-012-0305-Y |
0.382 |
|
2013 |
Geva D, Shahar D, Harris T, Tepper S, Molenberghs G, Friger M. Snapshot of Statistical Methods Used in Geriatric Cohort Studies: How Do We Treat Missing Data in Publications? International Journal of Statistics in Medical Research. 2: 289-296. DOI: 10.6000/1929-6029.2013.02.04.5 |
0.433 |
|
2013 |
Molenberghs G, Kenward MG, Verbeke G, Iddi S, Efendi A. On the Connections Between Bridge Distributions, Marginalized Multilevel Models, and Generalized Linear Mixed Models International Journal of Statistics and Probability. 2. DOI: 10.5539/Ijsp.V2N4P1 |
0.394 |
|
2013 |
Molenberghs G, Abad AA, van der Elst W, Burzykowski T, Buyse M. Surrogate end points: when should they be used? Clinical Investigation. 3: 1147-1155. DOI: 10.4155/Cli.13.105 |
0.309 |
|
2013 |
Iddi S, Molenberghs G. A marginalized model for zero-inated, overdispersed and correlated count data Electronic Journal of Applied Statistical Analysis. 6: 149-165. DOI: 10.1285/I20705948V6N2P149 |
0.365 |
|
2013 |
Minalu G, Aerts M, Coenen S, Versporten A, Muller A, Adriaenssens N, Beutels P, Molenberghs G, Goossens H, Hens N. Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe Statistical Modelling. 13: 253-274. DOI: 10.1177/1471082X13485404 |
0.542 |
|
2013 |
Mallinckrodt C, Roger J, Chuang-stein C, Molenberghs G, Lane PW, O'kelly M, Ratitch B, Xu L, Gilbert S, Mehrotra DV, Wolfinger R, Thijs H. Missing Data: Turning Guidance Into Action Statistics in Biopharmaceutical Research. 5: 369-382. DOI: 10.1080/19466315.2013.848822 |
0.682 |
|
2013 |
Kassahun W, Neyens T, Molenberghs G, Faes C, Verbeke G. A joint model for hierarchical continuous and zero-inflated overdispersed count data Journal of Statistical Computation and Simulation. 85: 552-571. DOI: 10.1080/00949655.2013.829058 |
0.394 |
|
2013 |
Aregay M, Shkedy Z, Molenberghs G. A hierarchical Bayesian approach for the analysis of longitudinal count data with overdispersion: A simulation study Computational Statistics and Data Analysis. 57: 233-245. DOI: 10.1016/J.Csda.2012.06.020 |
0.413 |
|
2012 |
Little RJ, D'Agostino R, Cohen ML, Dickersin K, Emerson SS, Farrar JT, Frangakis C, Hogan JW, Molenberghs G, Murphy SA, Neaton JD, Rotnitzky A, Scharfstein D, Shih WJ, Siegel JP, et al. The prevention and treatment of missing data in clinical trials. The New England Journal of Medicine. 367: 1355-60. PMID 23034025 DOI: 10.1056/Nejmsr1203730 |
0.364 |
|
2012 |
Ghebretinsae AH, Faes C, Molenberghs G, Geys H, Van der Leede BJ. Joint modeling of hierarchically clustered and overdispersed non-gaussian continuous outcomes for comet assay data. Pharmaceutical Statistics. 11: 449-55. PMID 22997130 DOI: 10.1002/Pst.1533 |
0.429 |
|
2012 |
Mallinckrodt CH, Lin Q, Lipkovich I, Molenberghs G. A structured approach to choosing estimands and estimators in longitudinal clinical trials. Pharmaceutical Statistics. 11: 456-61. PMID 22962024 DOI: 10.1002/Pst.1536 |
0.351 |
|
2012 |
Kassahun W, Neyens T, Molenberghs G, Faes C, Verbeke G. Modeling overdispersed longitudinal binary data using a combined beta and normal random-effects model. Archives of Public Health = Archives Belges De Santé Publique. 70: 7. PMID 22958735 DOI: 10.1186/0778-7367-70-7 |
0.43 |
|
2012 |
Janssens M, Molenberghs G, Kerstens R. Handling of missing data in long-term clinical trials: a case study. Pharmaceutical Statistics. 11: 442-8. PMID 22888095 DOI: 10.1002/Pst.1532 |
0.438 |
|
2012 |
Neyens T, Faes C, Molenberghs G. A generalized Poisson-gamma model for spatially overdispersed data. Spatial and Spatio-Temporal Epidemiology. 3: 185-94. PMID 22749204 DOI: 10.1016/J.Sste.2011.10.004 |
0.379 |
|
2012 |
Van Puyenbroeck K, Hens N, Coenen S, Michiels B, Beunckens C, Molenberghs G, Van Royen P, Verhoeven V. Efficacy of daily intake of Lactobacillus casei Shirota on respiratory symptoms and influenza vaccination immune response: a randomized, double-blind, placebo-controlled trial in healthy elderly nursing home residents. The American Journal of Clinical Nutrition. 95: 1165-71. PMID 22440853 DOI: 10.3945/Ajcn.111.026831 |
0.485 |
|
2012 |
Milanzi E, Alonso A, Molenberghs G. Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutions. Statistics in Medicine. 31: 1475-82. PMID 22362329 DOI: 10.1002/Sim.4482 |
0.411 |
|
2012 |
Bunouf P, Grouin JM, Molenberghs G. Analysis of an incomplete binary outcome derived from frequently recorded longitudinal continuous data: application to daily pain evaluation. Statistics in Medicine. 31: 1554-71. PMID 22359232 DOI: 10.1002/Sim.4491 |
0.389 |
|
2012 |
Molenberghs G, Njagi EN, Kenward MG, Verbeke G. Enriched-Data Problems and Essential Non-Identifiability International Journal of Statistics in Medical Research. 1: 16-44. DOI: 10.6000/1929-6029.2012.01.01.02 |
0.438 |
|
2012 |
Bunouf P, Grouin JM, Molenberghs G, Koch G. Analysing intensive longitudinal data after summarization at landmarks: An application to daily pain evaluation in a clinical trial Journal of the Royal Statistical Society. Series a: Statistics in Society. 175: 513-534. DOI: 10.1111/J.1467-985X.2011.01014.X |
0.457 |
|
2012 |
Iddi S, Molenberghs G. A joint marginalized multilevel model for longitudinal outcomes Journal of Applied Statistics. 39: 2413-2430. DOI: 10.1080/02664763.2012.711302 |
0.392 |
|
2012 |
Molenberghs G, Verbeke G, Iddi S, Demétrio CGB. A combined beta and normal random-effects model for repeated, overdispersed binary and binomial data Journal of Multivariate Analysis. 111: 94-109. DOI: 10.1016/J.Jmva.2012.05.005 |
0.444 |
|
2012 |
Iddi S, Molenberghs G. A combined overdispersed and marginalized multilevel model Computational Statistics and Data Analysis. 56: 1944-1951. DOI: 10.1016/J.Csda.2011.11.021 |
0.462 |
|
2012 |
Luts J, Molenberghs G, Verbeke G, Van Huffel S, Suykens JA. A mixed effects least squares support vector machine model for classification of longitudinal data Computational Statistics & Data Analysis. 56: 611-628. DOI: 10.1016/J.Csda.2011.09.008 |
0.387 |
|
2012 |
Creemers A, Aerts M, Hens N, Molenberghs G. A nonparametric approach to weighted estimating equations for regression analysis with missing covariates Computational Statistics and Data Analysis. 56: 100-113. DOI: 10.1016/J.Csda.2011.06.013 |
0.578 |
|
2011 |
Faes C, Molenberghs G, Hens N, Muller A, Goossens H, Coenen S. Analysing the composition of outpatient antibiotic use: a tutorial on compositional data analysis. The Journal of Antimicrobial Chemotherapy. 66: vi89-94. PMID 22096070 DOI: 10.1093/Jac/Dkr461 |
0.519 |
|
2011 |
Minalu G, Aerts M, Coenen S, Versporten A, Muller A, Adriaenssens N, Beutels P, Molenberghs G, Goossens H, Hens N. Application of mixed-effects models to study the country-specific outpatient antibiotic use in Europe: a tutorial on longitudinal data analysis. The Journal of Antimicrobial Chemotherapy. 66: vi79-87. PMID 22096069 DOI: 10.1093/Jac/Dkr460 |
0.555 |
|
2011 |
Coenen S, Adriaenssens N, Versporten A, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H, Metz S, Fluch G, Vaerenberg S, Goossens MM, et al. European Surveillance of Antimicrobial Consumption (ESAC): Outpatient use of tetracyclines, sulphonamides and trimethoprim, and other antibacterials in Europe (1997-2009) Journal of Antimicrobial Chemotherapy. 66: vi57-vi70. PMID 22096067 DOI: 10.1093/Jac/Dkr458 |
0.497 |
|
2011 |
Adriaenssens N, Coenen S, Versporten A, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H, Metz S, Fluch G, Vaerenberg S, Goossens MM, et al. European Surveillance of Antimicrobial Consumption (ESAC): Outpatient quinolone use in Europe (1997-2009) Journal of Antimicrobial Chemotherapy. 66: vi47-vi56. PMID 22096066 DOI: 10.1093/jac/dkr457 |
0.448 |
|
2011 |
Adriaenssens N, Coenen S, Versporten A, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H, Metz S, Fluch G, Vaerenberg S, Goossens MM, et al. European Surveillance of Antimicrobial Consumption (ESAC): Outpatient macrolide, lincosamide and streptogramin (MLS) use in Europe (1997-2009) Journal of Antimicrobial Chemotherapy. 66: vi37-vi45. PMID 22096065 DOI: 10.1093/Jac/Dkr456 |
0.495 |
|
2011 |
Adriaenssens N, Coenen S, Versporten A, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H, Mittermayer H, Metz S, Fluch G, Vaerenberg S, et al. European Surveillance of Antimicrobial Consumption (ESAC): Outpatient antibiotic use in Europe (1997-2009) Journal of Antimicrobial Chemotherapy. 66: vi3-vi12. PMID 22096064 DOI: 10.1093/jac/dkr453 |
0.452 |
|
2011 |
Versporten A, Coenen S, Adriaenssens N, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H, Metz S, Fluch G, Vaerenberg S, Goossens MM, et al. European Surveillance of Antimicrobial Consumption (ESAC): Outpatient cephalosporin use in Europe (1997-2009) Journal of Antimicrobial Chemotherapy. 66: vi25-vi35. PMID 22096063 DOI: 10.1093/Jac/Dkr455 |
0.501 |
|
2011 |
Versporten A, Coenen S, Adriaenssens N, Muller A, Minalu G, Faes C, Vankerckhoven V, Aerts M, Hens N, Molenberghs G, Goossens H, Metz S, Fluch G, Vaerenberg S, Goossens MM, et al. European Surveillance of Antimicrobial Consumptionesac (ESAC): Outpatient penicillin use in Europe (1997-2009) Journal of Antimicrobial Chemotherapy. 66: vi13-vi23. PMID 22096062 DOI: 10.1093/Jac/Dkr454 |
0.504 |
|
2011 |
Mwambi H, Ramroop S, White Lj, Okiro E, Nokes Dj, Shkedy Z, Molenberghs G. A frequentist approach to estimating the force of infection for a respiratory disease using repeated measurement data from a birth cohort. Statistical Methods in Medical Research. 20: 551-70. PMID 22028340 DOI: 10.1177/0962280210385749 |
0.353 |
|
2011 |
Sattar A, Weissfeld LA, Molenberghs G. Analysis of non-ignorable missing and left-censored longitudinal data using a weighted random effects tobit model. Statistics in Medicine. 30: 3167-80. PMID 21898524 DOI: 10.1002/Sim.4344 |
0.42 |
|
2011 |
Roca-Pardiñas J, Cadarso-Suárez C, Pardo-Vazquez JL, Leboran V, Molenberghs G, Faes C, Acuña C. Assessing neural activity related to decision-making through flexible odds ratio curves and their derivatives. Statistics in Medicine. 30: 1695-711. PMID 21433050 DOI: 10.1002/Sim.4220 |
0.332 |
|
2011 |
Birhanu T, Molenberghs G, Sotto C, Kenward MG. Doubly robust and multiple-imputation-based generalized estimating equations. Journal of Biopharmaceutical Statistics. 21: 202-25. PMID 21390997 DOI: 10.1080/10543406.2011.550096 |
0.434 |
|
2011 |
Sinha SK, Troxel AB, Lipsitz SR, Sinha D, Fitzmaurice GM, Molenberghs G, Ibrahim JG. A bivariate pseudolikelihood for incomplete longitudinal binary data with nonignorable nonmonotone missingness. Biometrics. 67: 1119-26. PMID 21155748 DOI: 10.1111/J.1541-0420.2010.01525.X |
0.409 |
|
2011 |
Pryseley A, Tilahun A, Alonso A, Molenberghs G. An information-theoretic approach to surrogate-marker evaluation with failure time endpoints. Lifetime Data Analysis. 17: 195-214. PMID 20878357 DOI: 10.1007/S10985-010-9185-6 |
0.387 |
|
2011 |
Molenberghs G, Verbeke G. A note on a hierarchical interpretation for negative variance components Statistical Modelling. 11: 389-408. DOI: 10.1177/1471082X1001100501 |
0.385 |
|
2011 |
Creemers A, Hens N, Aerts M, Molenberghs G, Verbeke G, Kenward MG. Generalized shared-parameter models and missingness at random Statistical Modelling. 11: 279-310. DOI: 10.1177/1471082X1001100401 |
0.615 |
|
2011 |
Poleto FZ, Paulino CD, Molenberghs G, Singer JM. Inferential Implications of Over-Parametrization: A Case Study in Incomplete Categorical Data International Statistical Review. 79: 92-113. DOI: 10.1111/J.1751-5823.2011.00130.X |
0.317 |
|
2011 |
Litière S, Alonso A, Molenberghs G. Rejoinder to "A Note on Type II Error Under Random Effects Misspecification in Generalized Linear Mixed Models" Biometrics. 67: 656-660. DOI: 10.1111/J.1541-0420.2010.01474_2.X |
0.351 |
|
2011 |
Vangeneugden T, Molenberghs G, Verbeke G, Demétrio CGB. Marginal correlation from an extended random-effects model for repeated and overdispersed counts Journal of Applied Statistics. 38: 215-232. DOI: 10.1080/02664760903406405 |
0.371 |
|
2011 |
Cortiñas Abrahantes J, Sotto C, Molenberghs G, Vromman G, Bierinckx B. A comparison of various software tools for dealing with missing data via imputation Journal of Statistical Computation and Simulation. 81: 1653-1675. DOI: 10.1080/00949655.2010.498788 |
0.413 |
|
2011 |
Molenberghs G, Verbeke G, Iddi S. Pseudo-likelihood methodology for partitioned large and complex samples Statistics and Probability Letters. 81: 892-901. DOI: 10.1016/J.Spl.2011.01.012 |
0.373 |
|
2011 |
Pryseley A, Tchonlafi C, Verbeke G, Molenberghs G. Estimating negative variance components from Gaussian and non-Gaussian data: A mixed models approach Computational Statistics and Data Analysis. 55: 1071-1085. DOI: 10.1016/J.Csda.2010.09.002 |
0.42 |
|
2011 |
Sotto C, Beunckens C, Molenberghs G, Kenward MG. MCMC-based estimation methods for continuous longitudinal data with non-random (non)-monotone missingness Computational Statistics and Data Analysis. 55: 301-311. DOI: 10.1016/J.Csda.2010.04.026 |
0.403 |
|
2011 |
Poleto FZ, Molenberghs G, Paulino CD, Singer JM. Sensitivity analysis for incomplete continuous data Test. 20: 589-606. DOI: 10.1007/S11749-010-0219-X |
0.435 |
|
2010 |
Wouters K, Abrahantes JC, Molenberghs G, Geys H, Ahnaou A, Drinkenburg WH, Bijnens L. Correction for model selection bias using a modified model averaging approach for supervised learning methods applied to EEG experiments. Journal of Biopharmaceutical Statistics. 20: 768-86. PMID 20496205 DOI: 10.1080/10543401003618744 |
0.358 |
|
2010 |
Jacobs T, Straetemans R, Molenberghs G, Adriaan Bouwknecht J, Bijnens L. A latent pharmacokinetic time profile to model dose-response survival data. Journal of Biopharmaceutical Statistics. 20: 759-67. PMID 20496204 DOI: 10.1080/10543401003618249 |
0.361 |
|
2010 |
Abad AA, Litière S, Molenberghs G. Testing for misspecification in generalized linear mixed models. Biostatistics (Oxford, England). 11: 771-86. PMID 20407039 DOI: 10.1093/Biostatistics/Kxq019 |
0.397 |
|
2010 |
Troxel AB, Lipsitz SR, Fitzmaurice GM, Ibrahim JG, Sinha D, Molenberghs G. A weighted combination of pseudo-likelihood estimators for longitudinal binary data subject to non-ignorable non-monotone missingness. Statistics in Medicine. 29: 1511-21. PMID 20205269 DOI: 10.1002/Sim.3867 |
0.383 |
|
2010 |
Creemers A, Hens N, Aerts M, Molenberghs G, Verbeke G, Kenward MG. A sensitivity analysis for shared-parameter models for incomplete longitudinal outcomes. Biometrical Journal. Biometrische Zeitschrift. 52: 111-25. PMID 19937996 DOI: 10.1002/Bimj.200800235 |
0.587 |
|
2010 |
Molenberghs G, Burzykowski T, Alonso A, Assam P, Tilahun A, Buyse M. A unified framework for the evaluation of surrogate endpoints in mental-health clinical trials. Statistical Methods in Medical Research. 19: 205-36. PMID 19608602 DOI: 10.1177/0962280209105015 |
0.356 |
|
2010 |
Rizopoulos D, Verbeke G, Molenberghs G. Multiple-imputation-based residuals and diagnostic plots for joint models of longitudinal and survival outcomes. Biometrics. 66: 20-9. PMID 19459832 DOI: 10.1111/J.1541-0420.2009.01273.X |
0.434 |
|
2010 |
Molenberghs G, Verbeke G, Demétrio CGB, Vieira AMC. A Family of Generalized Linear Models for Repeated Measures with Normal and Conjugate Random Effects Statistical Science. 25: 325-347. DOI: 10.1214/10-Sts328 |
0.449 |
|
2010 |
Verbeke G, Molenberghs G. Arbitrariness of models for augmented and coarse data, with emphasis on incomplete data and random effects models Statistical Modelling. 10: 391-419. DOI: 10.1177/1471082X0901000403 |
0.446 |
|
2010 |
Laenen A, Alonso A, Molenberghs G, Vangeneugden T, Mallinckrodt CH. Coping with memory effect and serial correlation when estimating reliability in a longitudinal framework Applied Psychological Measurement. 34: 255-266. DOI: 10.1177/0146621609349494 |
0.345 |
|
2010 |
Bruckers L, Serroyen J, Molenberghs G, Slaets H, Goeyvaerts W. Latent class analysis of persistent disturbing behaviour patients by using longitudinal profiles Journal of the Royal Statistical Society: Series C (Applied Statistics). 59: 495-512. DOI: 10.1111/J.1467-9876.2009.00704.X |
0.332 |
|
2010 |
Vangeneugden T, Molenberghs G, Laenen A, Geys H, Beunckens C, Sotto C. Marginal correlation in longitudinal binary data based on generalized linear mixed models Communications in Statistics - Theory and Methods. 39: 3540-3557. DOI: 10.1080/03610920903249568 |
0.376 |
|
2010 |
Vieira AM, Leandro RA, Demétrio CG, Molenberghs G. Double generalized linear model for tissue culture proportion data: a Bayesian perspective Journal of Applied Statistics. 38: 1717-1731. DOI: 10.1080/02664763.2010.529875 |
0.423 |
|
2010 |
Pryseley A, Mintiens K, Knapen K, Van der Stede Y, Molenberghs G. Estimating precision, repeatability, and reproducibility from Gaussian and non- Gaussian data: a mixed models approach Journal of Applied Statistics. 37: 1729-1747. DOI: 10.1080/02664760903150706 |
0.425 |
|
2010 |
Serroyen J, Molenberghs G, Aerts M, Vloeberghs E, De Deyn PP, Verbeke G. Flexible estimation of serial correlation in nonlinear mixed models Journal of Applied Statistics. 37: 833-846. DOI: 10.1080/02664760902914425 |
0.397 |
|
2010 |
Jansen I, Molenberghs G. Pattern-mixture models for categorical outcomes with non-monotone missingness Journal of Statistical Computation and Simulation. 80: 1279-1296. DOI: 10.1080/00949650903062566 |
0.408 |
|
2010 |
Molenberghs G, Verbeke G. On the Weibull-Gamma frailty model, its infinite moments, and its connection to generalized log-logistic, logistic, Cauchy, and extreme-value distributions Journal of Statistical Planning and Inference. DOI: 10.1016/J.Jspi.2010.08.008 |
0.336 |
|
2010 |
Pryseley A, Tilahun A, Alonso A, Molenberghs G. Using earlier measures in a longitudinal sequence as a potential surrogate for a later one Computational Statistics and Data Analysis. 54: 1342-1354. DOI: 10.1016/J.Csda.2009.11.024 |
0.336 |
|
2010 |
Molenberghs G, Kenward MG. Semi-parametric marginal models for hierarchical data and their corresponding full models Computational Statistics and Data Analysis. 54: 585-597. DOI: 10.1016/J.Csda.2009.09.040 |
0.436 |
|
2010 |
Verbeke G, Molenberghs G, Rizopoulos D. Random effects models for longitudinal data Longitudinal Research With Latent Variables. 37-96. DOI: 10.1007/978-3-642-11760-2_2 |
0.323 |
|
2009 |
Ibrahim JG, Molenberghs G. Missing data methods in longitudinal studies: a review. Test (Madrid, Spain). 18: 1-43. PMID 21218187 DOI: 10.1007/S11749-009-0138-X |
0.383 |
|
2009 |
Kenward MG, Molenberghs G. Last observation carried forward: a crystal ball? Journal of Biopharmaceutical Statistics. 19: 872-88. PMID 20183449 DOI: 10.1080/10543400903105406 |
0.374 |
|
2009 |
Serroyen J, Molenberghs G, Verbeke G, Davidian M. Non-linear Models for Longitudinal Data. The American Statistician. 63: 378-388. PMID 20160890 DOI: 10.1198/Tast.2009.07256 |
0.396 |
|
2009 |
Hens N, Wienke A, Aerts M, Molenberghs G. The correlated and shared gamma frailty model for bivariate current status data: an illustration for cross-sectional serological data. Statistics in Medicine. 28: 2785-800. PMID 19591117 DOI: 10.1002/Sim.3660 |
0.586 |
|
2009 |
Alonso A, Molenberghs G, Renard D, Darstein C. Evaluation of biomarkers for pharmacological activity. Journal of Biopharmaceutical Statistics. 19: 256-72. PMID 19212878 DOI: 10.1080/10543400802622386 |
0.537 |
|
2009 |
Maringwa JT, Faes C, Geys H, Molenberghs G, Cadarso-Suárez C, Pardo-Vázquez JL, Leborán V, Acunña C. Application of penalized splines in analyzing neuronal data. Biometrical Journal. Biometrische Zeitschrift. 51: 203-16. PMID 19197962 DOI: 10.1002/Bimj.200810501 |
0.326 |
|
2009 |
Laenen A, Alonso A, Molenberghs G, Vangeneugden T, Mallinckrodt CH. Using longitudinal data from a clinical trial in depression to assess the reliability of its outcome scales. Journal of Psychiatric Research. 43: 730-8. PMID 18986657 DOI: 10.1016/J.Jpsychires.2008.09.010 |
0.322 |
|
2009 |
Faes C, Aerts M, Molenberghs G, Geys H, Teuns G, Bijnens L. A high-dimensional joint model for longitudinal outcomes of different nature. Statistics in Medicine. 27: 4408-27. PMID 18551509 DOI: 10.1002/Sim.3314 |
0.417 |
|
2009 |
Molenberghs G, Kenward MG, Verbeke G. Discussion of likelihood inference for models with unobservables: Another view Statistical Science. 24: 273-279. DOI: 10.1214/09-Sts277B |
0.358 |
|
2009 |
Faes C, Molenberghs G, Aerts M, Verbeke G, Kenward MG. The effective sample size and an alternative small-sample degrees-of-freedom method American Statistician. 63: 389-399. DOI: 10.1198/Tast.2009.08196 |
0.361 |
|
2009 |
Molenberghs G. Incomplete data in clinical studies: Analysis, sensitivity, and sensitivity analysis Drug Information Journal. 43: 409-429. DOI: 10.1177/009286150904300404 |
0.433 |
|
2009 |
Beunckens C, Sotto C, Molenberghs G, Verbeke G. A multifaceted sensitivity analysis of the Slovenian public opinion survey data Journal of the Royal Statistical Society. Series C: Applied Statistics. 58: 171-196. DOI: 10.1111/J.1467-9876.2009.00647.X |
0.469 |
|
2009 |
Laenen A, Alonso A, Molenberghs G, Vangeneugden T. A family of measures to evaluate scale reliability in a longitudinal setting Journal of the Royal Statistical Society. Series a: Statistics in Society. 172: 237-253. DOI: 10.1111/J.1467-985X.2008.00554.X |
0.314 |
|
2009 |
Ibrahim JG, Molenberghs G. Rejoinder on: Missing data methods in longitudinal studies: A review Test. 18: 68-75. DOI: 10.1007/S11749-009-0144-Z |
0.321 |
|
2008 |
Jacobs T, Rossenu S, Dunne A, Molenberghs G, Straetemans R, Bijnens L. Combined models for data from in vitro-in vivo correlation experiments. Journal of Biopharmaceutical Statistics. 18: 1197-211. PMID 18991117 DOI: 10.1080/10543400802369061 |
0.302 |
|
2008 |
Wouters K, Abrahantes JC, Molenberghs G, Ahnaou A, Drinkenburg WH, Bijnens L. A comparison of doubly hierarchical discriminant analyses for multiple class longitudinal data from EEG experiments. Journal of Biopharmaceutical Statistics. 18: 1120-35. PMID 18991112 DOI: 10.1080/10543400802369111 |
0.316 |
|
2008 |
Maringwa JT, Geys H, Shkedy Z, Faes C, Molenberghs G, Aerts M, Ammel KV, Teisman A, Bijnens L. Application of semiparametric mixed models and simultaneous confidence bands in a cardiovascular safety experiment with longitudinal data. Journal of Biopharmaceutical Statistics. 18: 1043-62. PMID 18991107 DOI: 10.1080/10543400802368881 |
0.392 |
|
2008 |
Maringwa JT, Geys H, Shkedy Z, Faes C, Molenberghs G, Aerts M, Van Ammel K, Teisman A, Bijnens L. Analysis of cross-over designs with serial correlation within periods using semi-parametric mixed models. Statistics in Medicine. 27: 6009-33. PMID 18613252 DOI: 10.1002/Sim.3363 |
0.364 |
|
2008 |
Vangeneugden T, Molenberghs G, Laenen A, Alonso A, Geys H. Generalizability in nongaussian longitudinal clinical trial data based on generalized linear mixed models. Journal of Biopharmaceutical Statistics. 18: 691-712. PMID 18607802 DOI: 10.1080/10543400802071386 |
0.414 |
|
2008 |
Abrahantes JC, Shkedy Z, Molenberghs G. Alternative methods to evaluate trial level surrogacy Clinical Trials. 5: 194-208. PMID 18559408 DOI: 10.1177/1740774508091677 |
0.417 |
|
2008 |
Tilahun A, Pryseley A, Alonso A, Molenberghs G. Information theory-based surrogate marker evaluation from several randomized clinical trials with binary endpoints, using SAS Journal of Biopharmaceutical Statistics. 18: 326-341. PMID 18327724 DOI: 10.1080/10543400701697190 |
0.397 |
|
2008 |
Alonso A, Molenberghs G. Evaluating time to cancer recurrence as a surrogate marker for survival from an information theory perspective Statistical Methods in Medical Research. 17: 497-504. PMID 18285443 DOI: 10.1177/0962280207081851 |
0.313 |
|
2008 |
Litière S, Alonso A, Molenberghs G. The impact of a misspecified random-effects distribution on the estimation and the performance of inferential procedures in generalized linear mixed models. Statistics in Medicine. 27: 3125-44. PMID 18069726 DOI: 10.1002/Sim.3157 |
0.404 |
|
2008 |
Tibaldi F, Renard D, Molenberghs G. Accounting for variability in individual hierarchical clinical trial data. Pharmaceutical Statistics. 7: 285-93. PMID 17948233 DOI: 10.1002/Pst.313 |
0.646 |
|
2008 |
Beunckens C, Molenberghs G, Verbeke G, Mallinckrodt C. A latent-class mixture model for incomplete longitudinal Gaussian data Biometrics. 64: 96-105. PMID 17608789 DOI: 10.1111/J.1541-0420.2007.00837.X |
0.466 |
|
2008 |
Verbeke G, Molenberghs G, Beunckens C. Formal and informal model selection with incomplete data Statistical Science. 23: 201-218. DOI: 10.1214/07-Sts253 |
0.434 |
|
2008 |
Molenberghs G, Beunckens C, Sotto C, Kenward MG. Every missingness not at random model has a missingness at random counterpart with equal fit Journal of the Royal Statistical Society. Series B: Statistical Methodology. 70: 371-388. DOI: 10.1111/J.1467-9868.2007.00640.X |
0.456 |
|
2008 |
Jansen I, Molenberghs G. A flexible marginal modelling strategy for non-monotone missing data Journal of the Royal Statistical Society. Series a: Statistics in Society. 171: 347-373. DOI: 10.1111/J.1467-985X.2007.00524.X |
0.424 |
|
2008 |
Rizopoulos D, Verbeke G, Molenberghs G. Shared parameter models under random effects misspecification Biometrika. 95: 63-74. DOI: 10.1093/Biomet/Asm087 |
0.37 |
|
2008 |
Molenberghs G, Burzykowski T, Alonso A, Assam P, Tilahun A, Buyse M. The meta-analytic framework for the evaluation of surrogate endpoints in clinical trials Journal of Statistical Planning and Inference. 138: 432-449. DOI: 10.1016/J.Jspi.2007.06.005 |
0.376 |
|
2008 |
Alonso A, Litière S, Molenberghs G. A family of tests to detect misspecifications in the random-effects structure of generalized linear mixed models Computational Statistics and Data Analysis. 52: 4474-4486. DOI: 10.1016/J.Csda.2008.02.033 |
0.403 |
|
2008 |
Beunckens C, Sotto C, Molenberghs G. A simulation study comparing weighted estimating equations with multiple imputation based estimating equations for longitudinal binary data Computational Statistics and Data Analysis. 52: 1533-1548. DOI: 10.1016/J.Csda.2007.04.020 |
0.426 |
|
2008 |
Sotto C, Beunckens C, Molenberghs G, Jansen I, Verbeke G. Marginalizing pattern-mixture models for categorical data subject to monotone missingness Metrika. 69: 305-336. DOI: 10.1007/S00184-008-0219-Y |
0.419 |
|
2007 |
Pryseley A, Tilahun A, Alonso A, Molenberghs G. Information-theory based surrogate marker evaluation from several randomized clinical trials with continuous true and binary surrogate endpoints Clinical Trials. 4: 587-597. PMID 18042568 DOI: 10.1177/1740774507084979 |
0.348 |
|
2007 |
Molenberghs G, Verbeke G, Demétrio CGB. An extended random-effects approach to modeling repeated, overdispersed count data Lifetime Data Analysis. 13: 513-531. PMID 17999182 DOI: 10.1007/S10985-007-9064-Y |
0.453 |
|
2007 |
Tibaldi FS, Verbeke G, Molenberghs G, Renard D, Van den Noortgate W, de Boeck P. Conditional mixed models with crossed random effects. The British Journal of Mathematical and Statistical Psychology. 60: 351-65. PMID 17971274 DOI: 10.1348/000711006X110562 |
0.638 |
|
2007 |
Beunckens C, Molenberghs G, Thijs H, Verbeke G. Incomplete hierarchical data. Statistical Methods in Medical Research. 16: 457-92. PMID 17656453 DOI: 10.1177/0962280206075310 |
0.693 |
|
2007 |
Fieuws S, Verbeke G, Molenberghs G. Random-effects models for multivariate repeated measures Statistical Methods in Medical Research. 16: 387-397. PMID 17656450 DOI: 10.1177/0962280206075305 |
0.428 |
|
2007 |
Molenberghs G, Laenen A, Vangeneugden T. Estimating reliability and generalizability from hierarchical biomedical data. Journal of Biopharmaceutical Statistics. 17: 595-627. PMID 17613644 DOI: 10.1080/10543400701329448 |
0.42 |
|
2007 |
Alonso A, Molenberghs G. Surrogate marker evaluation from an information theory perspective Biometrics. 63. PMID 17447943 DOI: 10.1111/J.1541-0420.2006.00634.X |
0.36 |
|
2007 |
Faes C, Aerts M, Geys H, Molenberghs G. Model averaging using fractional polynomials to estimate a safe level of exposure Risk Analysis. 27: 111-123. PMID 17362404 DOI: 10.1111/J.1539-6924.2006.00863.X |
0.362 |
|
2007 |
Van Steen K, Laird NM, Markel P, Molenberghs G. Approaches to handling incomplete data in family-based association testing Annals of Human Genetics. 71: 141-151. PMID 17096676 DOI: 10.1111/J.1469-1809.2006.00325.X |
0.359 |
|
2007 |
Parzen M, Lipsitz SR, Fitzmaurice GM, Ibrahim JG, Troxel A, Molenberghs G, Universitair L. Pseudo-likelihood Methods for the Analysis of Longitudinal Binary Data Subject to Nonignorable Non-monotone Missingness Journal of Data Science. 5: 1-21. DOI: 10.6339/Jds.2007.05(1).301 |
0.395 |
|
2007 |
Alonso A, Molenberghs G, Burzykowski T, Renard D, Geys H, Shkedy Z, Tibaldi F, Abrahantes JC, Buyse M. The authors replied as follows:: Quantifying the Effect of the Surrogate Marker Biometrics. 63: 960-962. DOI: 10.1111/J.1541-0420.2007.00852_2.X |
0.514 |
|
2007 |
Wouters K, Ahnaou A, Abrahantes JC, Molenberghs G, Geys H, Bijnens L, Drinkenburg WHIM. Psychotropic drug classification based on sleep?wake behaviour of rats Journal of the Royal Statistical Society: Series C (Applied Statistics). 56: 223-234. DOI: 10.1111/J.1467-9876.2007.00575.X |
0.337 |
|
2007 |
Molenberghs G. Editorial: What to do with missing data? Journal of the Royal Statistical Society. Series a: Statistics in Society. 170: 861-863. DOI: 10.1111/J.1467-985X.2007.00504.X |
0.338 |
|
2007 |
Shkedy Z, Decin L, Molenberghs G, Aerts C. Estimating stellar parameters from spectra using a hierarchical Bayesian approach Monthly Notices of the Royal Astronomical Society. 377: 120-132. DOI: 10.1111/J.1365-2966.2007.11508.X |
0.358 |
|
2007 |
Namata H, Shkedy Z, Faes C, Aerts M, Molenberghs G, Theeten H, van Damme P, Beutels P. Estimation of the force of infection from current status data using generalized linear mixed models Journal of Applied Statistics. 34: 923-939. DOI: 10.1080/02664760701590525 |
0.331 |
|
2007 |
Tilahun A, Pryseley A, Alonso A, Molenberghs G. Flexible surrogate marker evaluation from several randomized clinical trials with continuous endpoints, using R and SAS Computational Statistics and Data Analysis. 51: 4152-4163. DOI: 10.1016/J.Csda.2007.02.007 |
0.349 |
|
2007 |
Laenen A, Alonso A, Molenberghs G. A measure for the reliability of a rating scale based on longitudinal clinical trial data Psychometrika. 72: 443-448. DOI: 10.1007/S11336-007-9002-7 |
0.351 |
|
2006 |
Van Sanden S, Wouters L, Burzykowski T, Molenberghs G, Van Remoortere M, Meert T, Bijnens L. A modeling approach to the analysis of nerve regenerative experiments. Journal of Biopharmaceutical Statistics. 16: 843-59. PMID 17146983 DOI: 10.1080/10543400600795384 |
0.35 |
|
2006 |
Shen S, Beunckens C, Mallinckrodt C, Molenberghs G. A local influence sensitivity analysis for incomplete longitudinal depression data Journal of Biopharmaceutical Statistics. 16: 365-384. PMID 16724491 DOI: 10.1080/10543400600609510 |
0.393 |
|
2006 |
Laenen A, Vangeneugden T, Geys H, Molenberghs G. Generalized reliability estimation using repeated measurements. The British Journal of Mathematical and Statistical Psychology. 59: 113-31. PMID 16709282 DOI: 10.1348/000711005X66068 |
0.334 |
|
2006 |
Hens N, Aerts M, Molenberghs G. Model selection for incomplete and design-based samples. Statistics in Medicine. 25: 2502-20. PMID 16596577 DOI: 10.1002/Sim.2559 |
0.55 |
|
2006 |
Alonso A, Molenberghs G, Geys H, Buyse M, Vangeneugden T. A unifying approach for surrogate marker validation based on Prentice's criteria. Statistics in Medicine. 25: 205-21. PMID 16220497 DOI: 10.1002/Sim.2315 |
0.379 |
|
2006 |
Jansen I, Beunckens C, Molenberghs G, Verbeke G, Mallinckrodt C. Analyzing Incomplete Discrete Longitudinal Clinical Trial Data Statistical Science. 21: 52-69. DOI: 10.1214/088342305000000322 |
0.484 |
|
2006 |
Jansen I, Van Den Troost A, Molenberghs G, Vermulst AA, Gerris JRM. Modeling partially incomplete marital satisfaction data Sociological Methods and Research. 35: 113-136. DOI: 10.1177/0049124106289163 |
0.385 |
|
2006 |
Cadarso-Suarez C, Roca-Pardinas J, Molenberghs G, Faes C, Nacher V, Ojeda S, Acuna C. Flexible modelling of neuron firing rates across different experimental conditions: an application to neural activity in the prefrontal cortex during a discrimination task Journal of the Royal Statistical Society: Series C (Applied Statistics). 55: 431-447. DOI: 10.1111/J.1467-9876.2006.00545.X |
0.311 |
|
2006 |
Faes C, Geys H, Aerts M, Molenberghs G. A hierarchical modeling approach for risk assessment in developmental toxicity studies Computational Statistics and Data Analysis. 51: 1848-1861. DOI: 10.1016/J.Csda.2005.12.002 |
0.367 |
|
2006 |
Jansen I, Hens N, Molenberghs G, Aerts M, Verbeke G, Kenward MG. The nature of sensitivity in monotone missing not at random models Computational Statistics and Data Analysis. 50: 830-858. DOI: 10.1016/J.Csda.2004.10.009 |
0.582 |
|
2005 |
Beunckens C, Molenberghs G, Kenward MG. Direct likelihood analysis versus simple forms of imputation for missing data in randomized clinical trials Clinical Trials. 2: 379-386. PMID 16315646 DOI: 10.1191/1740774505Cn119Oa |
0.428 |
|
2005 |
Mallinckrodt CH, Kaiser CJ, Watkin JG, Molenberghs G, Carroll RJ. The effect of correlation structure on treatment contrasts estimated from incomplete clinical trial data with likelihood-based repeated measures compared with last observation carried forward ANOVA. Clinical Trials (London, England). 1: 477-89. PMID 16279288 DOI: 10.1191/1740774504Cn049Oa |
0.394 |
|
2005 |
Shkedy Z, Vandersmissen V, Molenberghs G, Van Craenendonck H, Aerts N, Steckler T, Bijnens L. Behavioral testing of antidepressant compounds: an analysis of crossover design for correlated binary data. Biometrical Journal. Biometrische Zeitschrift. 47: 286-98. PMID 16053253 DOI: 10.1002/Bimj.200410130 |
0.354 |
|
2005 |
Vangeneugden T, Laenen A, Geys H, Renard D, Molenberghs G. Applying concepts of generalizability theory on clinical trial data to investigate sources of variation and their impact on reliability. Biometrics. 61: 295-304. PMID 15737106 DOI: 10.1111/J.0006-341X.2005.031040.X |
0.584 |
|
2005 |
Alonso A, Geys H, Molenberghs G, Kenward MG, Vangeneugden T. Validation of surrogate markers in multiple randomized clinical trials with repeated measurements: canonical correlation approach. Biometrics. 60: 845-53. PMID 15606404 DOI: 10.1111/J.0006-341X.2004.00239.X |
0.351 |
|
2005 |
Verbeke G, Molenberghs G. Longitudinal and incomplete clinical studies Metron. 63: 143-170. DOI: 10.5183/Jjscs.22.1_1 |
0.461 |
|
2005 |
Serroyen J, Molenberghs G, Verhoye M, Meir V, Linden A. Dynamic manganese-enhanced MRI signal intensity processing based on nonlinear mixed modeling to study changes in neuronal activity Journal of Agricultural, Biological, and Environmental Statistics. 10: 170-183. DOI: 10.1198/108571105X46426 |
0.367 |
|
2005 |
De Ridder J, Molenberghs G, Aerts C. Estimating stellar-oscillation-related parameters and their uncertainties with the moment method Journal of the Royal Statistical Society. Series C: Applied Statistics. 54: 333-348. DOI: 10.1111/J.1467-9876.2005.00487.X |
0.329 |
|
2005 |
Fitzmaurice GM, Lipsitz SR, Molenberghs G, Ibrahim JG. A protective estimator for longitudinal binary data subject to non-ignorable non-monotone missingness Journal of the Royal Statistical Society. Series a: Statistics in Society. 168: 723-735. DOI: 10.1111/J.1467-985X.2005.00374.X |
0.423 |
|
2005 |
Hens N, Aerts M, Molenberghs G, Thijs H, Verbeke G. Kernel weighted influence measures Computational Statistics and Data Analysis. 48: 467-487. DOI: 10.1016/J.Csda.2004.02.010 |
0.702 |
|
2005 |
Van Steen K, Raby BA, Molenberghs G, Thijs H, De Wit M, Peeters M. An equivalence test for comparing DNA sequences Pharmaceutical Statistics. 4: 203-214. DOI: 10.1002/Pst.182 |
0.626 |
|
2004 |
Alonso A, Molenberghs G, Burzykowski T, Renard D, Geys H, Shkedy Z, Tibaldi F, Abrahantes JC, Buyse M. Prentice's approach and the meta-analytic paradigm: a reflection on the role of statistics in the evaluation of surrogate endpoints. Biometrics. 60: 724-8. PMID 15339295 DOI: 10.1111/J.0006-341X.2004.00222.X |
0.584 |
|
2004 |
Tibaldi F, Torres Barbosa F, Molenberghs G. Modelling associations between time-to-event responses in pilot cancer clinical trials using a Plackett-Dale model Statistics in Medicine. 23: 2173-2186. PMID 15236423 DOI: 10.1002/Sim.1820 |
0.424 |
|
2004 |
Molenberghs G, Thijs H, Jansen I, Beunckens C, Kenward MG, Mallinckrodt C, Carroll RJ. Analyzing incomplete longitudinal clinical trial data. Biostatistics (Oxford, England). 5: 445-64. PMID 15208205 DOI: 10.1093/biostatistics/5.3.445 |
0.669 |
|
2004 |
Molenberghs G, Burzykowski T, Alonso A, Buyse M. A perspective on surrogate endpoints in controlled clinical trials Statistical Methods in Medical Research. 13: 177-206. PMID 15198486 DOI: 10.1191/0962280204Sm362Ra |
0.35 |
|
2004 |
Curran D, Molenberghs G, Thijs H, Verbeke G. Sensitivity analysis for pattern mixture models. Journal of Biopharmaceutical Statistics. 14: 125-43. PMID 15027504 DOI: 10.1081/Bip-120028510 |
0.649 |
|
2004 |
Tibaldi F, Molenberghs G, Burzykowski T, Geys H. Pseudo-likelihood estimation for a marginal multivariate survival model Statistics in Medicine. 23: 947-963. PMID 15027082 DOI: 10.1002/Sim.1664 |
0.377 |
|
2004 |
Vangeneugden T, Laenen A, Geys H, Renard D, Molenberghs G. Applying linear mixed models to estimate reliability in clinical trial data with repeated measurements. Controlled Clinical Trials. 25: 13-30. PMID 14980746 DOI: 10.1016/J.Cct.2003.08.009 |
0.618 |
|
2004 |
Wouters L, Göhlmann HW, Bijnens L, Kass SU, Molenberghs G, Lewi PJ. Graphical exploration of gene expression data: a comparative study of three multivariate methods. Biometrics. 59: 1131-9. PMID 14969494 DOI: 10.1111/J.0006-341X.2003.00130.X |
0.323 |
|
2004 |
Faes C, Geys H, Aerts M, Molenberghs G, Catalano PJ. Modeling combined continuous and ordinal outcomes in a clustered setting Journal of Agricultural, Biological, and Environmental Statistics. 9: 515-530. DOI: 10.1198/108571104X16349 |
0.367 |
|
2004 |
Lipsitz SR, Molenberghs G, Fitzmaurice GM, Ibrahim JG. Protective estimator for linear regression with nonignorably missing Gaussian outcomes Statistical Modelling: An International Journal. 4: 3-17. DOI: 10.1191/1471082X04St066Oa |
0.397 |
|
2004 |
Burzykowski T, Molenberghs G, Buyse M. The validation of surrogate end points by using data from randomized clinical trials: A case-study in advanced colorectal cancer Journal of the Royal Statistical Society. Series a: Statistics in Society. 167: 103-124. DOI: 10.1111/J.1467-985X.2004.00293.X |
0.337 |
|
2004 |
Molenberghs G. Analyzing incomplete longitudinal clinical trial data Biostatistics. 5: 445-464. DOI: 10.1093/Biostatistics/Kxh001 |
0.424 |
|
2004 |
Decin L, Shkedy Z, Molenberghs G, Aerts M, Aerts C. Estimating stellar parameters from spectra I. Goodness-of-fit parameters and lack-of-fit test Astronomy and Astrophysics. 421: 281-294. DOI: 10.1051/0004-6361:20040127 |
0.355 |
|
2004 |
Faes C, Aerts M, Geys H, Molenberghs G, Declerck L. Bayesian testing for trend in a power model for clustered binary data Environmental and Ecological Statistics. 11: 305-322. DOI: 10.1023/B:Eest.0000038018.95862.3F |
0.362 |
|
2004 |
Renard D, Molenberghs G, Geys H. A pairwise likelihood approach to estimation in multilevel probit models Computational Statistics and Data Analysis. 44: 649-667. DOI: 10.1016/S0167-9473(02)00263-3 |
0.575 |
|
2004 |
Abrahantes JC, Molenberghs G, Burzykowski T, Shkedy Z, Abad AA, Renard D. Choice of units of analysis and modeling strategies in multilevel hierarchical models Computational Statistics & Data Analysis. 47: 537-563. DOI: 10.1016/J.Csda.2003.12.003 |
0.607 |
|
2004 |
Mallinckrodt CH, Watkin JG, Molenberghs G, Carroll RJ. Choice of the primary analysis in longitudinal clinical trials Pharmaceutical Statistics. 3: 161-169. DOI: 10.1002/Pst.124 |
0.434 |
|
2004 |
Van Steen K, Tahri N, Molenberghs G. Introducing the multivariate dale model in population-based genetic association studies Biometrical Journal. 46: 187-202. DOI: 10.1002/Bimj.200310016 |
0.363 |
|
2004 |
Molenberghs G, Verbeke G. Meaningful statistical model formulations for repeated measures Statistica Sinica. 14: 989-1020. |
0.32 |
|
2003 |
Speybroeck N, Boelaert F, Renard D, Burzykowski T, Mintiens K, Molenberghs G, Berkvens DL. Design-based analysis of surveys: a bovine herpesvirus 1 case study. Epidemiology and Infection. 131: 991-1002. PMID 14596542 DOI: 10.1017/S095026880300102X |
0.58 |
|
2003 |
Jansen I, Molenberghs G, Aerts M, Thijs H, Van Steen K. A local influence approach applied to binary data from a psychiatric study. Biometrics. 59: 410-9. PMID 12926726 DOI: 10.1111/1541-0420.00048 |
0.709 |
|
2003 |
Verbeke G, Molenberghs G. The use of score tests for inference on variance components Biometrics. 59: 254-262. PMID 12926710 DOI: 10.1111/1541-0420.00032 |
0.321 |
|
2003 |
Mallinckrodt CH, Clark WS, Carroll RJ, Molenberghs G. Assessing response profiles from incomplete longitudinal clinical trial data under regulatory considerations Journal of Biopharmaceutical Statistics. 13: 179-190. PMID 12729388 DOI: 10.1081/Bip-120019265 |
0.445 |
|
2003 |
Mallinckrodt CH, Sanger TM, Dubé S, DeBrota DJ, Molenberghs G, Carroll RJ, Potter WZ, Tollefson GD. Assessing and interpreting treatment effects in longitudinal clinical trials with missing data. Biological Psychiatry. 53: 754-60. PMID 12706959 DOI: 10.1016/S0006-3223(02)01867-X |
0.438 |
|
2003 |
Van Steen K, Curran D, Kramer J, Molenberghs G, Van Vreckem A, Bottomley A, Sylvester R. Multicollinearity in prognostic factor analyses using the EORTC QLQ-C30: identification and impact on model selection. Statistics in Medicine. 21: 3865-84. PMID 12483772 DOI: 10.1002/Sim.1358 |
0.355 |
|
2003 |
Shkedy Z, Aerts M, Molenberghs G, Beutels P, Van Damme P. Modelling forces of infection by using monotone local polynomials Journal of the Royal Statistical Society. Series C: Applied Statistics. 52: 469-485. DOI: 10.1111/1467-9876.00418 |
0.341 |
|
2003 |
Molenberghs G, Thijs H, Kenward MG, Verbeke G. Sensitivity analysis of continuous incomplete longitudinal outcomes Statistica Neerlandica. 57: 112-135. DOI: 10.1111/1467-9574.00224 |
0.706 |
|
2003 |
Kenward MG, Molenberghs G, Thijs H. Pattern-mixture models with proper time dependence Biometrika. 90: 53-71. DOI: 10.1093/Biomet/90.1.53 |
0.689 |
|
2003 |
Renard D, Geys H, Molenberghs G, Burzykowski T, Buyse M, Vangeneugden T, Bijnens L. Validation of a longitudinally measured surrogate marker for a time-to-event endpoint Journal of Applied Statistics. 30: 235-247. DOI: 10.1080/0266476022000023776 |
0.569 |
|
2003 |
Tibaldi F, Abrahantes JC, Molenberghs G, Renard D, Burzykowski T, Buyse M, Parmar M, Stijnen T, Wolfinger R. Simplified hierarchical linear models for the evaluation of surrogate endpoints Journal of Statistical Computation and Simulation. 73: 643-658. DOI: 10.1080/0094965031000062177 |
0.607 |
|
2003 |
De Ridder J, Molenberghs G, Aerts C. Statistical revision of the moment method Astrophysics and Space Science. 284: 125-128. DOI: 10.1023/A:1023210812440 |
0.325 |
|
2003 |
Claeskens G, Aerts M, Molenberghs G. A quadratic bootstrap method and improved estimation in logistic regression Statistics and Probability Letters. 61: 383-394. DOI: 10.1016/S0167-7152(02)00397-8 |
0.354 |
|
2003 |
Alonso A, Geys H, Molenberghs G, Kenward MG, Vangeneugden T. Validation of Surrogate Markers in Multiple Randomized Clinical Trials with Repeated Measurements Biometrical Journal. 45: 931-945. DOI: 10.1002/Bimj.200390061 |
0.397 |
|
2002 |
Thijs H, Molenberghs G, Michiels B, Verbeke G, Curran D. Strategies to fit pattern-mixture models. Biostatistics (Oxford, England). 3: 245-65. PMID 12933616 DOI: 10.1093/Biostatistics/3.2.245 |
0.673 |
|
2002 |
Molenberghs G, Buyse M, Geys H, Renard D, Burzykowski T, Alonso A. Statistical challenges in the evaluation of surrogate endpoints in randomized trials. Controlled Clinical Trials. 23: 607-25. PMID 12505240 DOI: 10.1016/S0197-2456(02)00236-2 |
0.586 |
|
2002 |
Alonso A, Geys H, Molenberghs G, Vangeneugden T. Investigating the criterion validity of psychiatric symptom scales using surrogate marker validation methodology Journal of Biopharmaceutical Statistics. 12: 161-178. PMID 12413238 DOI: 10.1081/Bip-120015741 |
0.31 |
|
2002 |
Michiels B, Molenberghs G, Bijnens L, Vangeneugden T, Thijs H. Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out. Statistics in Medicine. 21: 1023-41. PMID 11933032 DOI: 10.1002/Sim.1064 |
0.688 |
|
2002 |
Curran D, Molenberghs G, Aaronson NK, Fossa SD, Sylvester RJ. Analysing longitudinal continuous quality of life data with dropout. Statistical Methods in Medical Research. 11: 5-23. PMID 11923994 DOI: 10.1191/0962280202Sm270Ra |
0.401 |
|
2002 |
Van Steen K, Curran D, Molenberghs G. Sensitivity analysis of longitudinal binary quality of life data with drop-out: an example using the EORTC QLQ-C30. Statistics in Medicine. 20: 3901-20. PMID 11782042 DOI: 10.1002/Sim.1081 |
0.423 |
|
2002 |
Corcoran C, Ryan L, Senchaudhuri P, Mehta C, Patel N, Molenberghs G. An exact trend test for correlated binary data. Biometrics. 57: 941-8. PMID 11550948 DOI: 10.1111/J.0006-341X.2001.00941.X |
0.387 |
|
2002 |
Geys H, Molenberghs G, Williams P. Analysis of toxicology data with covariates specific to each observation Journal of Agricultural, Biological, and Environmental Statistics. 7: 176-190. DOI: 10.1198/10857110260141229 |
0.39 |
|
2002 |
Aerts M, Claeskens G, Hens N, Molenberghs G. Local multiple imputation Biometrika. 89: 375-388. DOI: 10.1093/Biomet/89.2.375 |
0.577 |
|
2002 |
Claeskens G, Aerts M, Molenberghs G, Ryan L. Robust benchmark dose determination based on profile score methods Environmental and Ecological Statistics. 9: 357-377. DOI: 10.1023/A:1020962622829 |
0.364 |
|
2002 |
Renard D, Geys H, Molenberghs G, Burzykowski T, Buyse M. Validation of Surrogate Endpoints in Multiple Randomized Clinical Trials with Discrete Outcomes Biometrical Journal. 44: 921-935. DOI: 10.1002/Bimj.200290004 |
0.625 |
|
2001 |
Janssens JP, Van Hecke E, Geys H, Bruckers L, Renard D, Molenberghs G. Pesticides and mortality from hormone-dependent cancers. European Journal of Cancer Prevention : the Official Journal of the European Cancer Prevention Organisation (Ecp). 10: 459-67. PMID 11711761 DOI: 10.1097/00008469-200110000-00010 |
0.52 |
|
2001 |
Molenberghs G, Geys H, Buyse M. Evaluation of surrogate endpoints in randomized experiments with mixed discrete and continuous outcomes Statistics in Medicine. 20: 3023-3038. PMID 11590630 DOI: 10.1002/Sim.923 |
0.397 |
|
2001 |
Bustami R, Lesaffre E, Molenberghs G, Loos R, Danckaerts M, Vlietinck R. Modelling bivariate ordinal responses smoothly with examples from ophthalmology and genetics. Statistics in Medicine. 20: 1825-42. PMID 11406844 DOI: 10.1002/Sim.793 |
0.393 |
|
2001 |
Verbeke G, Molenberghs G, Thijs H, Lesaffre E, Kenward MG. Sensitivity analysis for nonrandom dropout: a local influence approach. Biometrics. 57: 7-14. PMID 11252620 DOI: 10.1111/J.0006-341X.2001.00007.X |
0.702 |
|
2001 |
Fitzmaurice GM, Lipsitz SR, Molenberghs G, Ibrahim JG. Bias in estimating association parameters for longitudinal binary responses with drop-outs Biometrics. 57: 15-21. PMID 11252590 DOI: 10.1111/J.0006-341X.2001.00015.X |
0.311 |
|
2001 |
Renard D, Bruckers L, Molenberghs G, Vellinga A, Van Damme P. Repeated-measures models to evaluate a hepatitis B vaccination programme. Statistics in Medicine. 20: 951-63. PMID 11252015 DOI: 10.1002/Sim.699 |
0.531 |
|
2001 |
Geys H, Regan MM, Catalano PJ, Molenberghs G. Two latent variable risk assessment approaches for mixed continuous and discrete outcomes from developmental toxicity data Journal of Agricultural, Biological, and Environmental Statistics. 6: 340-355. DOI: 10.1198/108571101317096550 |
0.353 |
|
2001 |
Molenberghs G, Verbeke G. A review on linear mixed models for longitudinal data, possibly subject to dropout Statistical Modelling: An International Journal. 1: 235-269. DOI: 10.1177/1471082X0100100402 |
0.415 |
|
2001 |
van Steen K, Molenberghs G, Verbeke G, Thijs H. A local influence approach to sensitivity analysis of incomplete longitudinal ordinal data Statistical Modelling: An International Journal. 1: 125-142. DOI: 10.1177/1471082X0100100203 |
0.702 |
|
2001 |
Kenward MG, Goetghebeur EJ, Molenberghs G. Sensitivity analysis for incomplete categorical data Statistical Modelling: An International Journal. 1: 31-48. DOI: 10.1177/1471082X0100100104 |
0.465 |
|
2001 |
Burzykowski T, Molenberghs G, Buyse M, Geys H, Renard D. Validation of surrogate end points in multiple randomized clinical trials with failure time end points Journal of the Royal Statistical Society: Series C (Applied Statistics). 50: 405-422. DOI: 10.1111/1467-9876.00244 |
0.59 |
|
2001 |
Molenberghs G, Kenward MG, Goetghebeur E. Sensitivity analysis for incomplete contingency tables: The Slovenian plebiscite case Journal of the Royal Statistical Society. Series C: Applied Statistics. 50: 15-29. DOI: 10.1111/1467-9876.00217 |
0.451 |
|
2001 |
Molenberghs G, Geys H. Multivariate clustered data analysis in developmental toxicity studies Statistica Neerlandica. 55: 319-345. DOI: 10.1111/1467-9574.00172 |
0.417 |
|
2001 |
Molenberghs G, Verbeke G, Thijs H, Lesaffre E, Kenward MG. Influence analysis to assess sensitivity of the dropout process Computational Statistics and Data Analysis. 37: 93-113. DOI: 10.1016/S0167-9473(00)00065-7 |
0.695 |
|
2001 |
Galecki AT, Have TRT, Molenberghs G. A simple and fast alternative to the EM algorithm for incomplete categorical data and latent class models Computational Statistics and Data Analysis. 35: 265-281. DOI: 10.1016/S0167-9473(00)00015-3 |
0.415 |
|
2001 |
Zimmerman DL, Núñez-Antón V, Gregoire TG, Schabenberger O, Hart JD, Kenward MG, Molenberghs G, Verbeke G, Pourahmadi M, Vieu P, Zimmerman DL, Núñez-Antón V, Gregoire TG, Schabenberger O, Hart JD, ... ... Molenberghs G, et al. Parametric modelling of growth curve data: An overview Test. 10: 1-73. DOI: 10.1007/Bf02595823 |
0.43 |
|
2000 |
Buyse M, Molenberghs G, Burzykowski T, Renard D, Geys H. The validation of surrogate endpoints in meta-analyses of randomized experiments. Biostatistics (Oxford, England). 1: 49-67. PMID 12933525 DOI: 10.1093/Biostatistics/1.1.49 |
0.593 |
|
2000 |
Lipsitz SR, Molenberghs G, Fitzmaurice GM, Ibrahim J. GEE with Gaussian estimation of the correlations when data are incomplete Biometrics. 56: 528-536. PMID 10877313 DOI: 10.1111/J.0006-341X.2000.00528.X |
0.397 |
|
2000 |
Curran D, Aaronson N, Standaert B, Molenberghs G, Therasse P, Ramirez A, Koopmanschap M, Erder H, Piccart M. Summary measures and statistics in the analysis of quality of life data: an example from an EORTC-NCIC-SAKK locally advanced breast cancer study. European Journal of Cancer (Oxford, England : 1990). 36: 834-44. PMID 10785587 DOI: 10.1016/S0959-8049(00)00056-3 |
0.353 |
|
2000 |
Buyse M, Molenberghs G, Burzykowski T, Renard D, Geys H. Statistical Validation of Surrogate Endpoints: Problems and Proposals Drug Information Journal. 34: 447-454. DOI: 10.1177/009286150003400213 |
0.547 |
|
2000 |
Lipsitz SR, Ibrahim J, Molenberghs G. Using a Box-Cox transformation in the analysis of longitudinal data with incomplete responses Journal of the Royal Statistical Society. Series C: Applied Statistics. 49: 287-296. DOI: 10.1111/1467-9876.00192 |
0.35 |
|
2000 |
Gonin R, Lipsitz SR, Fitzmaurice GM, Molenberghs G. Regression modelling of weighted κ by using generalized estimating equations Journal of the Royal Statistical Society. Series C: Applied Statistics. 49: 1-18. DOI: 10.1111/1467-9876.00175 |
0.379 |
|
2000 |
Declerck L, Molenberghs G, Aerts M, Ryan L. Litter-based methods in developmental toxicity risk assessment Environmental and Ecological Statistics. 7: 55-74. DOI: 10.1023/A:1009658829383 |
0.34 |
|
2000 |
Thijs H, Molenberghs G, Verbeke G. The milk protein trial: Influence analysis of the dropout process Biometrical Journal. 42: 617-646. DOI: 10.1002/1521-4036(200009)42:5<617::Aid-Bimj617>3.0.Co;2-N |
0.695 |
|
2000 |
Geys H, Molenberghs G, Declerck L, Ryan L. Flexible Quantitative Risk Assessment for Developmental Toxicity Based on Fractional Polynomial Predictors Biometrical Journal. 42: 279-302. DOI: 10.1002/1521-4036(200007)42:3<279::Aid-Bimj279>3.0.Co;2-F |
0.369 |
|
1999 |
Michiels B, Molenberghs G, Lipsitz SR. Selection models and pattern-mixture models for incomplete data with covariates Biometrics. 55: 978-983. PMID 11315038 DOI: 10.1111/J.0006-341X.1999.00978.X |
0.44 |
|
1999 |
Ryan L, Molenberghs G. Statistical methods for developmental toxicity. Analysis of clustered multivariate binary data Annals of the New York Academy of Sciences. 895: 196-211. PMID 10676418 DOI: 10.1111/J.1749-6632.1999.Tb08086.X |
0.433 |
|
1999 |
Janssens JP, Shapira N, Debeuf P, Michiels L, Putman R, Bruckers L, Renard D, Molenberghs G. Effects of soft drink and table beer consumption on insulin response in normal teenagers and carbohydrate drink in youngsters. European Journal of Cancer Prevention : the Official Journal of the European Cancer Prevention Organisation (Ecp). 8: 289-95. PMID 10493303 DOI: 10.1097/00008469-199908000-00004 |
0.485 |
|
1999 |
Molenberghs G, Goetghebeur EJ, Lipsitz SR, Kenward MG, Lesaffre E, Michiels B. Missing data perspectives of the fluvoxamine data set: a review. Statistics in Medicine. 18: 2449-64. PMID 10474152 DOI: 10.1002/(Sici)1097-0258(19990915/30)18:17/18<2449::Aid-Sim268>3.0.Co;2-W |
0.4 |
|
1999 |
Molenberghs G, Lesaffre E. Marginal modelling of multivariate categorical data Statistics in Medicine. 18: 2237-2255. PMID 10474136 DOI: 10.1002/(Sici)1097-0258(19990915/30)18:17/18<2237::Aid-Sim252>3.0.Co;2-R |
0.431 |
|
1999 |
Kenward MG, Molenberghs G. Parametric models for incomplete continuous and categorical longitudinal data Statistical Methods in Medical Research. 8: 51-83. PMID 10347860 DOI: 10.1177/096228029900800105 |
0.391 |
|
1999 |
Stewart P, Verbeke G, Molenberghs G. Linear Mixed Models in Practice: A SAS-Oriented Approach (Lecture Notes in Statistics 126) Technometrics. 41: 79. DOI: 10.2307/1271007 |
0.333 |
|
1999 |
Michiels B, Molenberghs G, Lipsitz SR. A pattern-mixture odds ratio model for incomplete categorical data Communications in Statistics - Theory and Methods. 28: 2843-2869. DOI: 10.1080/03610929908832453 |
0.451 |
|
1999 |
Geys H, Molenberghs G, Ryan LM. Pseudolikelihood Modeling of Multivariate Outcomes in Developmental Toxicology Journal of the American Statistical Association. 94: 734-745. DOI: 10.1080/01621459.1999.10474176 |
0.396 |
|
1999 |
Molenberghs G, Goetghebeur EJT, Lipsitz SR, Kenward MG. Nonrandom missingness in categorical data: strengths and limitations The American Statistician. 53: 110-118. DOI: 10.1080/00031305.1999.10474442 |
0.428 |
|
1999 |
Molenberghs G, Aerts C, De Cat P. An improved method for the determination of the orbital parameters of a binary system that contains a pulsating component Astronomy and Astrophysics Supplement Series. 135: 383-390. DOI: 10.1051/Aas:1999180 |
0.318 |
|
1999 |
Molenberghs G, Ryan LM. An exponential family model for clustered multivariate binary data Environmetrics. 10: 279-300. DOI: 10.1002/(Sici)1099-095X(199905/06)10:3<279::Aid-Env352>3.0.Co;2-X |
0.378 |
|
1998 |
Buyse M, Molenberghs G. Criteria for the validation of surrogate endpoints in randomized experiments Biometrics. 54: 1014-1029. PMID 9840970 DOI: 10.2307/2533853 |
0.314 |
|
1998 |
Curran D, Bacchi M, Schmitz SF, Molenberghs G, Sylvester RJ. Identifying the types of missingness in quality of life data from clinical trials. Statistics in Medicine. 17: 739-56. PMID 9549820 DOI: 10.1002/(Sici)1097-0258(19980315/15)17:5/7<739::Aid-Sim818>3.0.Co;2-M |
0.406 |
|
1998 |
Lipsitz SR, Dear KBG, Laird NM, Molenberghs G. Tests for homogeneity of the risk difference when data are sparse Biometrics. 54: 148-160. PMID 9544513 DOI: 10.2307/2534003 |
0.329 |
|
1998 |
Goetghebeur E, Molenberghs G, Katz J. Estimating the causal effect of compliance on binary outcome in randomized controlled trials Statistics in Medicine. 17: 341-355. PMID 9493258 DOI: 10.1002/(Sici)1097-0258(19980215)17:3<341::Aid-Sim766>3.0.Co;2-X |
0.368 |
|
1998 |
Lipsitz SR, Parzen M, Molenberghs G. Obtaining the Maximum Likelihood Estimates in Incomplete R × C Contingency Tables Using a Poisson Generalized Linear Model@@@Obtaining the Maximum Likelihood Estimates in Incomplete R X C Contingency Tables Using a Poisson Generalized Linear Model Journal of Computational and Graphical Statistics. 7: 356. DOI: 10.2307/1390709 |
0.314 |
|
1998 |
Kenward MG, Molenberghs G. Likelihood Based Frequentist Inference When Data Are Missing at Random Statistical Science. 13: 236-247. DOI: 10.1214/Ss/1028905886 |
0.357 |
|
1998 |
Lipsitz SR, Zhao LP, Molenberghs G. A semiparametric method of multiple imputation Journal of the Royal Statistical Society. Series B: Statistical Methodology. 60: 127-144. DOI: 10.1111/1467-9868.00113 |
0.39 |
|
1998 |
Molenberghs G, Michiels B, Kenward MG, Diggle PJ. Monotone missing data and pattern-mixture models Statistica Neerlandica. 52: 153-161. DOI: 10.1111/1467-9574.00075 |
0.407 |
|
1998 |
Lipsitz SR, Parzen M, Molenberghs G. Obtaining the maximum likelihood estimates in incomplete R × C contingency tables using a poisson generalized linear model Journal of Computational and Graphical Statistics. 7: 356-376. DOI: 10.1080/10618600.1998.10474781 |
0.351 |
|
1998 |
Geys H, Molenberghs G, Lipsitz S. A note on the comparison of pseudo-likelihood and generalized estimating equations for marginally specified odds ratio models with exchangeable association structure Journal of Statistical Computation and Simulation. 62: 45-71. DOI: 10.1080/00949659808811924 |
0.387 |
|
1998 |
Declerck L, Aerts M, Molenberghs G. Behaviour of the likelihood ratio test statistic under a bahadur model for exchangeable binary data Journal of Statistical Computation and Simulation. 61: 15-38. DOI: 10.1080/00949659808811900 |
0.404 |
|
1998 |
Lapp K, Molenberghs G, Lesaffre E. Models for the association between ordinal variables Computational Statistics and Data Analysis. 28: 387-411. DOI: 10.1016/S0167-9473(98)00044-9 |
0.372 |
|
1998 |
Molenberghs G, Declerck L, Aerts M. Misspecifying the likelihood for clustered binary data Computational Statistics and Data Analysis. 26: 327-349. DOI: 10.1016/S0167-9473(97)00037-6 |
0.382 |
|
1998 |
Croes K, Manca J, De Ceuninck W, De Schepper L, Molenberghs G. The time of “guessing” your failure time distribution is over! Microelectronics Reliability. 38: 1187-1191. DOI: 10.1016/S0026-2714(98)00083-3 |
0.329 |
|
1998 |
Molenberghs G, Michiels B, Kenward MG. Pseudo-likelihood for combined selection and pattern-mixture models for incomplete data Biometrical Journal. 40: 557-572. DOI: 10.1002/(Sici)1521-4036(199809)40:5<557::Aid-Bimj557>3.0.Co;2-S |
0.421 |
|
1997 |
Lipsitz SR, Fitzmaurice GM, Molenberghs G, Zhao LP. Quantile regression methods for longitudinal data with drop-outs: Application to CD4 cell counts of patients infected with the human immunodeficiency virus Journal of the Royal Statistical Society. Series C: Applied Statistics. 46: 463-476. DOI: 10.1111/1467-9876.00084 |
0.346 |
|
1997 |
Molenberghs G, Goetghebeur E. Simple fitting algorithms for incomplete categorical data Journal of the Royal Statistical Society. Series B: Statistical Methodology. 59: 401-414. DOI: 10.1111/1467-9868.00075 |
0.392 |
|
1997 |
Molenberghs G, Kenward MG, Lesaffre E. The analysis of longitudinal ordinal data with nonrandom drop-out Biometrika. 84: 33-44. DOI: 10.1093/Biomet/84.1.33 |
0.45 |
|
1997 |
Michiels B, Molenberghs G. Protective estimation of longitudinal categorical data with nonrandom dropout Communications in Statistics - Theory and Methods. 26: 65-94. DOI: 10.1080/03610929708831902 |
0.394 |
|
1997 |
Michiels B, Molenberghs G. P78 Pseudo-likelihood methods for general missing data mechanisms Controlled Clinical Trials. 18: S158. DOI: 10.1016/S0197-2456(97)91173-9 |
0.314 |
|
1997 |
Lesaffre E, Molenberghs G, Scheys I. Prediction and classification when the diagnostic classes are related Computational Statistics and Data Analysis. 25: 67-90. DOI: 10.1016/S0167-9473(96)00085-0 |
0.371 |
|
1997 |
Aerts M, Declerck L, Molenberghs G. Likelihood misspecification and safe dose determination for clustered binary data Environmetrics. 8: 613-627. DOI: 10.1002/(Sici)1099-095X(199711/12)8:6<613::Aid-Env273>3.0.Co;2-0 |
0.369 |
|
1996 |
Molenberghs G, Ritter LL. Methods for analyzing multivariate binary data, with association between outcomes of interest Biometrics. 52: 1121-1133. PMID 8924574 DOI: 10.2307/2533074 |
0.336 |
|
1996 |
Lesaffre E, Molenberghs G, Dewulf L. Effect of dropouts in a longitudinal study: An application of a repeated ordinal model Statistics in Medicine. 15: 1123-1141. PMID 8804143 DOI: 10.1002/(Sici)1097-0258(19960615)15:11<1123::Aid-Sim228>3.0.Co;2-L |
0.434 |
|
1996 |
Lipsitz SR, Fitzmaurice GM, Molenberghs G. Goodness-of-fit tests for ordinal response regression models Journal of the Royal Statistical Society. Series C: Applied Statistics. 45: 175-190. DOI: 10.2307/2986153 |
0.429 |
|
1996 |
Molenberghs G, Fitzmaurice GM, Lipsitz SR. Efficient estimation of the intraclass correlation for a binary trait Journal of Agricultural, Biological, and Environmental Statistics. 1: 78-96. DOI: 10.2307/1400561 |
0.313 |
|
1996 |
Williams PL, Molenberghs G, Lipsitz SR. Analysis of multiple ordinal outcomes in developmental toxicity studies Journal of Agricultural, Biological, and Environmental Statistics. 1: 250-274. DOI: 10.2307/1400368 |
0.348 |
|
1996 |
Goetghebeur E, Molenberghs G. Causal inference in a placebo-controlled clinical trial with binary outcome and ordered compliance Journal of the American Statistical Association. 91: 928-934. DOI: 10.1080/01621459.1996.10476962 |
0.346 |
|
1996 |
Molenberghs G. THE STATISTICAL ANALYSIS OF CATEGORICAL DATA (3rd edn). Statistics in Medicine. 15: 2125-2126. DOI: 10.1002/(Sici)1097-0258(19961015)15:19<2125::Aid-Sim362>3.0.Co;2-K |
0.369 |
|
1995 |
Fitzmaurice GM, Molenberghs G, Lipsitz SR. Regression Models for Longitudinal Binary Responses with Informative Drop-Outs Journal of the Royal Statistical Society: Series B (Methodological). 57: 691-704. DOI: 10.1111/J.2517-6161.1995.Tb02056.X |
0.383 |
|
1994 |
Kenward MG, Lesaffre E, Molenberghs G. An application of maximum likelihood and generalized estimating equations to the analysis of ordinal data from a longitudinal study with cases missing at random Biometrics. 50: 945-953. PMID 7787007 DOI: 10.2307/2533434 |
0.423 |
|
1994 |
Molenberghs G, Lesaffre E. Marginal modeling of correlated ordinal data using a multivariate plackett distribution Journal of the American Statistical Association. 89: 633-644. DOI: 10.1080/01621459.1994.10476788 |
0.434 |
|
1994 |
Lesaffre E, Verbeke G, Molenberghs G. A sensitivity analysis of two multivariate response models Computational Statistics and Data Analysis. 17: 363-391. DOI: 10.1016/0167-9473(94)90018-3 |
0.409 |
|
1991 |
Lesaffre E, Molenberghs G. Multivariate probit analysis: A neglected procedure in medical statistics Statistics in Medicine. 10: 1391-1403. PMID 1925169 DOI: 10.1002/Sim.4780100907 |
0.342 |
|
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