G Molenberghs - Publications

Affiliations: 
Limburgs Universitair Centrum (Belgium) 
Area:
Statistics

388 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2024 Mwangi M, Molenberghs G, Njagi EN, Mwalili S, Braekers R, Florez AJ, Gachau S, Bukania ZN, Verbeke G. Pairwise fitting of piecewise mixed models for the joint modeling of multivariate longitudinal outcomes, in a randomized crossover trial. Biometrical Journal. Biometrische Zeitschrift. 66: e2200333. PMID 38499515 DOI: 10.1002/bimj.202200333  0.333
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  0.432
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  0.396
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  0.398
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  0.434
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  0.414
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  0.414
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  0.41
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  0.39
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  0.418
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  0.413
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  0.408
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  0.409
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  0.42
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  0.423
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  0.466
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  0.498
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  0.442
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  0.484
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  0.393
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  0.577
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  0.496
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  0.447
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  0.494
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  0.451
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  0.5
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  0.586
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  0.351
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  0.435
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  0.576
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  0.351
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
Show low-probability matches.