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Mark J. van der Laan - Publications

Affiliations: 
Statistics University of California, Berkeley, Berkeley, CA, United States 
Area:
Biostatistics Biology, Epidemiology
Website:
https://statistics.berkeley.edu/people/mark-van-der-laan
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222 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
2025 Chen J, Gruber S, Lee H, Chu H, Lee S, Tian H, Wang Y, He W, Jemielita T, Song Y, Tamura R, Tian L, Zhao Y, Chen Y, van der Laan M, et al. Use of Real-World Data and Real-World Evidence in Rare Disease Drug Development: A Statistical Perspective. Clinical Pharmacology and Therapeutics. PMID 39949314 DOI: 10.1002/cpt.3576  0.539
2024 Benjamin-Chung J, Mertens A, Colford JM, Hubbard AE, van der Laan MJ, Coyle J, Sofrygin O, Cai W, Nguyen A, Pokpongkiat NN, Djajadi S, Seth A, Jilek W, Jung E, Chung EO, et al. Author Correction: Early-childhood linear growth faltering in low- and middle-income countries. Nature. PMID 39668242 DOI: 10.1038/s41586-024-08344-6  0.327
2024 Butzin-Dozier Z, Qiu S, Hubbard AE, Shi JS, van der Laan MJ. Highly adaptive LASSO: Machine learning that provides valid nonparametric inference in realistic models. Medrxiv : the Preprint Server For Health Sciences. PMID 39484253 DOI: 10.1101/2024.10.18.24315778  0.553
2024 Butzin-Dozier Z, Ji Y, Deshpande S, Hurwitz E, Anzalone AJ, Coyle J, Shi J, Mertens A, van der Laan MJ, Colford JM, Patel RC, Hubbard AE. SSRI use during acute COVID-19 and risk of long COVID among patients with depression. Bmc Medicine. 22: 445. PMID 39380062 DOI: 10.1186/s12916-024-03655-x  0.348
2024 Bergquist T, Loomba J, Pfaff E, Xia F, Zhao Z, Zhu Y, Mitchell E, Bhattacharya B, Shetty G, Munia T, Delong G, Tariq A, Butzin-Dozier Z, Ji Y, Li H, ... ... van der Laan M, et al. Crowd-sourced machine learning prediction of long COVID using data from the National COVID Cohort Collaborative. Ebiomedicine. 108: 105333. PMID 39321500 DOI: 10.1016/j.ebiom.2024.105333  0.37
2024 Butzin-Dozier Z, Ji Y, Li H, Coyle J, Shi J, Phillips RV, Mertens AN, Pirracchio R, van der Laan MJ, Patel RC, Colford JM, Hubbard AE. Predicting Long COVID in the National COVID Cohort Collaborative Using Super Learner: Cohort Study. Jmir Public Health and Surveillance. 10: e53322. PMID 39146534 DOI: 10.2196/53322  0.365
2024 Nance N, Petersen ML, van der Laan M, Balzer LB. The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-data Applications. Epidemiology (Cambridge, Mass.). PMID 39087681 DOI: 10.1097/EDE.0000000000001773  0.623
2024 Benjamin-Chung J, Li H, Nguyen A, Barratt Heitmann G, Bennett A, Ntuku H, Prach LM, Tambo M, Wu L, Drakeley C, Gosling R, Mumbengegwi D, Kleinschmidt I, Smith JL, Hubbard A, ... van der Laan M, et al. Extension of efficacy range for targeted malaria-elimination interventions due to spillover effects. Nature Medicine. PMID 38965434 DOI: 10.1038/s41591-024-03134-z  0.395
2024 Wyss R, van der Laan M, Gruber S, Shi X, Lee H, Dutcher SK, Nelson JC, Toh S, Russo M, Wang SV, Desai RJ, Lin KJ. Targeted Learning with an Undersmoothed Lasso Propensity Score Model for Large-Scale Covariate Adjustment in Healthcare Database Studies. American Journal of Epidemiology. PMID 38517025 DOI: 10.1093/aje/kwae023  0.628
2024 Malenica I, Coyle JR, van der Laan MJ, Petersen ML. Adaptive sequential surveillance with network and temporal dependence. Biometrics. 80. PMID 38281772 DOI: 10.1093/biomtc/ujad007  0.539
2023 McCoy D, Schuler A, Hubbard A, van der Laan M. SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R. Journal of Open Source Software. 8. PMID 38737748 DOI: 10.21105/joss.05422  0.517
2023 Dang LE, Fong E, Tarp JM, Clemmensen KKB, Ravn H, Kvist K, Buse JB, van der Laan M, Petersen M. Case study of semaglutide and cardiovascular outcomes: An application of the C to a hybrid design for augmenting an RCT control arm with real-world data. Journal of Clinical and Translational Science. 7: e231. PMID 38028337 DOI: 10.1017/cts.2023.656  0.493
2023 Dang LE, Gruber S, Lee H, Dahabreh IJ, Stuart EA, Williamson BD, Wyss R, Díaz I, Ghosh D, Kıcıman E, Alemayehu D, Hoffman KL, Vossen CY, Huml RA, Ravn H, ... ... van der Laan M, et al. A causal roadmap for generating high-quality real-world evidence. Journal of Clinical and Translational Science. 7: e212. PMID 37900353 DOI: 10.1017/cts.2023.635  0.671
2023 Benjamin-Chung J, Mertens A, Colford JM, Hubbard AE, van der Laan MJ, Coyle J, Sofrygin O, Cai W, Nguyen A, Pokpongkiat NN, Djajadi S, Seth A, Jilek W, Jung E, Chung EO, et al. Author Correction: Early-childhood linear growth faltering in low- and middle-income countries. Nature. PMID 37833392 DOI: 10.1038/s41586-023-06703-3  0.327
2023 Mertens A, Benjamin-Chung J, Colford JM, Hubbard AE, van der Laan MJ, Coyle J, Sofrygin O, Cai W, Jilek W, Rosete S, Nguyen A, Pokpongkiat NN, Djajadi S, Seth A, Jung E, et al. Author Correction: Child wasting and concurrent stunting in low- and middle-income countries. Nature. PMID 37833391 DOI: 10.1038/s41586-023-06695-0  0.326
2023 Benjamin-Chung J, Li H, Nguyen A, Heitmann GB, Bennett A, Ntuku H, Prach LM, Tambo M, Wu L, Drakeley C, Gosling R, Mumbengegwi D, Kleinschmidt I, Hubbard A, van der Laan M, et al. Targeted malaria elimination interventions reduce infections up to 3 kilometers away. Medrxiv : the Preprint Server For Health Sciences. PMID 37790419 DOI: 10.1101/2023.09.19.23295806  0.392
2023 Mertens A, Benjamin-Chung J, Colford JM, Coyle J, van der Laan MJ, Hubbard AE, Rosete S, Malenica I, Hejazi N, Sofrygin O, Cai W, Li H, Nguyen A, Pokpongkiat NN, Djajadi S, et al. Causes and consequences of child growth faltering in low-resource settings. Nature. PMID 37704722 DOI: 10.1038/s41586-023-06501-x  0.36
2023 Mertens A, Benjamin-Chung J, Colford JM, Hubbard AE, van der Laan MJ, Coyle J, Sofrygin O, Cai W, Jilek W, Rosete S, Nguyen A, Pokpongkiat NN, Djajadi S, Seth A, Jung E, et al. Child wasting and concurrent stunting in low- and middle-income countries. Nature. PMID 37704720 DOI: 10.1038/s41586-023-06480-z  0.385
2023 Benjamin-Chung J, Mertens A, Colford JM, Hubbard AE, van der Laan MJ, Coyle J, Sofrygin O, Cai W, Nguyen A, Pokpongkiat NN, Djajadi S, Seth A, Jilek W, Jung E, Chung EO, et al. Early-childhood linear growth faltering in low- and middle-income countries. Nature. PMID 37704719 DOI: 10.1038/s41586-023-06418-5  0.38
2023 Gruber S, Phillips RV, Lee H, Concato J, van der Laan M. Evaluating and improving real-world evidence with Targeted Learning. Bmc Medical Research Methodology. 23: 178. PMID 37533017 DOI: 10.1186/s12874-023-01998-2  0.562
2023 McCoy D, Hubbard A, Van der Laan M. CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R. Journal of Open Source Software. 8. PMID 37398941 DOI: 10.21105/joss.04181  0.523
2023 Benitez A, Petersen ML, van der Laan MJ, Santos N, Butrick E, Walker D, Ghosh R, Otieno P, Waiswa P, Balzer LB. Defining and estimating effects in cluster randomized trials: A methods comparison. Statistics in Medicine. PMID 37308115 DOI: 10.1002/sim.9813  0.57
2023 Rytgaard HCW, Eriksson F, van der Laan MJ. Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation. Biometrics. PMID 36988158 DOI: 10.1111/biom.13856  0.383
2023 Phillips RV, van der Laan MJ, Lee H, Gruber S. Practical considerations for specifying a super learner. International Journal of Epidemiology. PMID 36905602 DOI: 10.1093/ije/dyad023  0.563
2023 Malenica I, Phillips RV, Chambaz A, Hubbard AE, Pirracchio R, van der Laan MJ. Personalized online ensemble machine learning with applications for dynamic data streams. Statistics in Medicine. 42: 1013-1044. PMID 36897184 DOI: 10.1002/sim.9655  0.44
2022 Boileau P, Hejazi NS, van der Laan MJ, Dudoit S. Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 32: 601-612. PMID 37273839 DOI: 10.1080/10618600.2022.2110883  0.662
2022 Hejazi NS, Boileau P, van der Laan MJ, Hubbard AE. A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology. Statistical Methods in Medical Research. 9622802221146313. PMID 36573044 DOI: 10.1177/09622802221146313  0.551
2022 Wei W, Petersen M, van der Laan MJ, Zheng Z, Wu C, Wang J. Efficient targeted learning of heterogeneous treatment effects for multiple subgroups. Biometrics. PMID 36416173 DOI: 10.1111/biom.13800  0.581
2022 Rytgaard HCW, van der Laan MJ. Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis. Lifetime Data Analysis. PMID 36336732 DOI: 10.1007/s10985-022-09576-2  0.376
2022 Boileau P, Qi NT, van der Laan MJ, Dudoit S, Leng N. A flexible approach for predictive biomarker discovery. Biostatistics (Oxford, England). PMID 35861622 DOI: 10.1093/biostatistics/kxac029  0.657
2022 van der Laan MJ, Benkeser D, Cai W. Efficient estimation of pathwise differentiable target parameters with the undersmoothed highly adaptive lasso. The International Journal of Biostatistics. PMID 35851449 DOI: 10.1515/ijb-2019-0092  0.326
2022 Ertefaie A, Hejazi NS, van der Laan MJ. Nonparametric inverse probability weighted estimators based on the highly adaptive lasso. Biometrics. PMID 35839293 DOI: 10.1111/biom.13719  0.343
2022 Bibaut A, Chambaz A, Dimakopoulou M, Kallus N, van der Laan M. Post-Contextual-Bandit Inference. Advances in Neural Information Processing Systems. 34: 28548-28559. PMID 35785105  0.363
2022 Montoya LM, van der Laan MJ, Luedtke AR, Skeem JL, Coyle JR, Petersen ML. The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions. The International Journal of Biostatistics. PMID 35708222 DOI: 10.1515/ijb-2020-0127  0.585
2022 Montoya LM, van der Laan MJ, Skeem JL, Petersen ML. Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions. The International Journal of Biostatistics. PMID 35659857 DOI: 10.1515/ijb-2020-0128  0.621
2022 Gruber S, Phillips RV, Lee H, van der Laan MJ. Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse Probability Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects. American Journal of Epidemiology. PMID 35512316 DOI: 10.1093/aje/kwac087  0.638
2022 Li H, Rosete S, Coyle J, Phillips RV, Hejazi NS, Malenica I, Arnold BF, Benjamin-Chung J, Mertens A, Colford JM, van der Laan MJ, Hubbard AE. Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials. Statistics in Medicine. PMID 35172378 DOI: 10.1002/sim.9348  0.579
2021 Balzer LB, van der Laan M, Ayieko J, Kamya M, Chamie G, Schwab J, Havlir DV, Petersen ML. Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials. Biostatistics (Oxford, England). PMID 34939083 DOI: 10.1093/biostatistics/kxab043  0.563
2021 Rudolph KE, Sofrygin O, van der Laan MJ. Complier stochastic direct effects: identification and robust estimation. Journal of the American Statistical Association. 116: 1254-1264. PMID 34531623 DOI: 10.1080/01621459.2019.1704292  0.383
2020 Westling T, van der Laan MJ, Carone M. Correcting an estimator of a multivariate monotone function with isotonic regression. Electronic Journal of Statistics. 14: 3032-3069. PMID 33981382 DOI: 10.1214/20-ejs1740  0.313
2020 Benkeser D, Petersen M, van der Laan MJ. Improved small-sample estimation of nonlinear cross-validated prediction metrics. Journal of the American Statistical Association. 115: 1917-1932. PMID 33716360 DOI: 10.1080/01621459.2019.1668794  0.597
2020 Benkeser D, Mertens A, Colford JM, Hubbard A, Arnold BF, Stein A, van der Laan MJ. A machine learning-based approach for estimating and testing associations with multivariate outcomes. The International Journal of Biostatistics. PMID 32784265 DOI: 10.1515/Ijb-2019-0061  0.465
2020 Cai W, van der Laan M. Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator. The International Journal of Biostatistics. PMID 32772002 DOI: 10.1515/ijb-2017-0070  0.354
2020 Balzer LB, Ayieko J, Kwarisiima D, Chamie G, Charlebois ED, Schwab J, van der Laan MJ, Kamya MR, Havlir DV, Petersen ML. Far from MCAR: Obtaining population-level estimates of HIV viral suppression. Epidemiology (Cambridge, Mass.). PMID 32452912 DOI: 10.1097/Ede.0000000000001215  0.489
2020 Kreif N, Sofrygin O, Schmittdiel JA, Adams AS, Grant RW, Zhu Z, van der Laan MJ, Neugebauer R. Exploiting non-systematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies. Biometrics. PMID 32297311 DOI: 10.1111/Biom.13271  0.642
2019 Cai W, van der Laan MJ. One-step targeted maximum likelihood estimation for time-to-event outcomes. Biometrics. PMID 31729005 DOI: 10.1111/biom.13172  0.37
2019 Chambaz A, Hubbard A, Luedtke AR, van der Laan MJ. Biostatistics in Africa 2019: A Special Issue of The International Journal of Biostatistics. The International Journal of Biostatistics. 15. PMID 31707359 DOI: 10.1515/Ijb-2019-0125  0.342
2019 Balzer LB, Havlir DV, Kamya MR, Chamie G, Charlebois ED, Clark TD, Koss CA, Kwarisiima D, Ayieko J, Sang N, Kabami J, Atukunda M, Jain V, Camlin CS, Cohen CR, ... ... van der Laan M, et al. Machine learning to identify persons at high-risk of HIV acquisition in rural Kenya and Uganda. Clinical Infectious Diseases : An Official Publication of the Infectious Diseases Society of America. PMID 31697383 DOI: 10.1093/Cid/Ciz1096  0.46
2019 Schnitzer ME, Sango J, Guerra SF, van der Laan MJ. Data-adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss-based estimation. Biometrics. PMID 31397506 DOI: 10.1111/biom.13135  0.38
2019 Ju C, Benkeser D, van der Laan MJ. Robust inference on the average treatment effect using the outcome highly adaptive lasso. Biometrics. PMID 31350906 DOI: 10.1111/biom.13121  0.382
2019 Havlir DV, Balzer LB, Charlebois ED, Clark TD, Kwarisiima D, Ayieko J, Kabami J, Sang N, Liegler T, Chamie G, Camlin CS, Jain V, Kadede K, Atukunda M, Ruel T, ... ... van der Laan M, et al. HIV Testing and Treatment with the Use of a Community Health Approach in Rural Africa. The New England Journal of Medicine. 381: 219-229. PMID 31314966 DOI: 10.1056/Nejmoa1809866  0.452
2019 Sofrygin O, Zhu Z, Schmittdiel JA, Adams AS, Grant RW, van der Laan MJ, Neugebauer R. Targeted learning with daily EHR data. Statistics in Medicine. PMID 31025411 DOI: 10.1002/Sim.8164  0.649
2019 Tran L, Yiannoutsos C, Wools-Kaloustian K, Siika A, van der Laan M, Petersen M. Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study. The International Journal of Biostatistics. PMID 30811344 DOI: 10.1515/Ijb-2017-0054  0.621
2019 Miles CH, Petersen M, van der Laan MJ. Causal Inference When Counterfactuals Depend on the Proportion of All Subjects Exposed. Biometrics. PMID 30714118 DOI: 10.1111/Biom.13034  0.554
2019 LeDell E, Petersen M, van der Laan M. Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates. Electronic Journal of Statistics. 9: 1583-1607. PMID 26279737 DOI: 10.1214/15-Ejs1035  0.595
2018 Rudolph KE, Sofrygin O, Zheng W, van der Laan MJ. Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting. Epidemiologic Methods. 7. PMID 34026421 DOI: 10.1515/em-2017-0007  0.595
2018 Luedtke AR, van der Laan MJ. Parametric-rate inference for one-sided differentiable parameters. Journal of the American Statistical Association. 113: 780-788. PMID 30078921 DOI: 10.1080/01621459.2017.1285777  0.335
2018 Ju C, Schwab J, van der Laan MJ. On adaptive propensity score truncation in causal inference. Statistical Methods in Medical Research. 962280218774817. PMID 29991330 DOI: 10.1177/0962280218774817  0.352
2018 Balzer LB, Zheng W, van der Laan MJ, Petersen ML. A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure. Statistical Methods in Medical Research. 962280218774936. PMID 29921160 DOI: 10.1177/0962280218774936  0.702
2018 Zheng W, Luo Z, van der Laan MJ. Marginal Structural Models with Counterfactual Effect Modifiers. The International Journal of Biostatistics. 14. PMID 29883322 DOI: 10.1515/Ijb-2018-0039  0.622
2018 Pirracchio R, Yue JK, Manley GT, van der Laan MJ, Hubbard AE. Collaborative targeted maximum likelihood estimation for variable importance measure: Illustration for functional outcome prediction in mild traumatic brain injuries. Statistical Methods in Medical Research. 27: 286-297. PMID 27363429 DOI: 10.1177/0962280215627335  0.566
2017 Chambaz A, Zheng W, van der Laan MJ. TARGETED SEQUENTIAL DESIGN FOR TARGETED LEARNING INFERENCE OF THE OPTIMAL TREATMENT RULE AND ITS MEAN REWARD. Annals of Statistics. 45: 2537-2564. PMID 29398733 DOI: 10.1214/16-Aos1534  0.599
2017 Zheng W, van der Laan M. Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes. Journal of Causal Inference. 5. PMID 29387520 DOI: 10.1515/jci-2016-0006  0.599
2017 Neugebauer R, Schmittdiel JA, Adams AS, Grant RW, van der Laan MJ. Identification of the joint effect of a dynamic treatment intervention and a stochastic monitoring intervention under the no direct effect assumption. Journal of Causal Inference. 5. PMID 29238650  0.636
2017 Ju C, Wyss R, Franklin JM, Schneeweiss S, Häggström J, van der Laan MJ. Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data. Statistical Methods in Medical Research. 962280217744588. PMID 29226777 DOI: 10.1177/0962280217744588  0.379
2017 Sofrygin O, van der Laan MJ, Neugebauer R. simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data. Journal of Statistical Software. 81. PMID 29104515 DOI: 10.18637/Jss.V081.I02  0.618
2017 Sofrygin O, van der Laan MJ. Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population. Journal of Causal Inference. 5. PMID 29057197  0.326
2017 van der Laan M. A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive Lasso. The International Journal of Biostatistics. 13. PMID 29023235 DOI: 10.1515/ijb-2015-0097  0.331
2017 Wyss R, Schneeweiss S, van der Laan M, Lendle SD, Ju C, Franklin JM. Using Super Learner Prediction Modeling to Improve High-Dimensional Propensity Score Estimation. Epidemiology (Cambridge, Mass.). PMID 28991001 DOI: 10.1097/EDE.0000000000000762  0.337
2017 Ju C, Gruber S, Lendle SD, Chambaz A, Franklin JM, Wyss R, Schneeweiss S, van der Laan MJ. Scalable collaborative targeted learning for high-dimensional data. Statistical Methods in Medical Research. 962280217729845. PMID 28936917 DOI: 10.1177/0962280217729845  0.642
2017 Díaz I, van der Laan MJ. Doubly robust inference for targeted minimum loss-based estimation in randomized trials with missing outcome data. Statistics in Medicine. 36: 3807-3819. PMID 28744883 DOI: 10.1002/sim.7389  0.421
2017 Gerlovina I, van der Laan MJ, Hubbard A. Big Data, Small Sample. The International Journal of Biostatistics. 13. PMID 28599385 DOI: 10.1515/Ijb-2017-0012  0.449
2017 Petersen M, Balzer L, Kwarsiima D, Sang N, Chamie G, Ayieko J, Kabami J, Owaraganise A, Liegler T, Mwangwa F, Kadede K, Jain V, Plenty A, Brown L, Lavoy G, ... ... van der Laan M, et al. Association of Implementation of a Universal Testing and Treatment Intervention With HIV Diagnosis, Receipt of Antiretroviral Therapy, and Viral Suppression in East Africa. Jama. 317: 2196-2206. PMID 28586888 DOI: 10.1001/Jama.2017.5705  0.464
2017 Arnold BF, van der Laan MJ, Hubbard AE, Steel C, Kubofcik J, Hamlin KL, Moss DM, Nutman TB, Priest JW, Lammie PJ. Measuring changes in transmission of neglected tropical diseases, malaria, and enteric pathogens from quantitative antibody levels. Plos Neglected Tropical Diseases. 11: e0005616. PMID 28542223 DOI: 10.1371/Journal.Pntd.0005616  0.363
2017 Benkeser D, Ju C, Lendle S, van der Laan M. Online cross-validation-based ensemble learning. Statistics in Medicine. PMID 28474419 DOI: 10.1002/sim.7320  0.391
2017 Zheng W, Balzer L, van der Laan M, Petersen M. Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies. Statistics in Medicine. PMID 28384841 DOI: 10.1002/Sim.7296  0.652
2017 Rudolph KE, Sofrygin O, Zheng W, van der Laan MJ. Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting Epidemiologic Methods. 7. DOI: 10.1515/Em-2017-0007  0.606
2016 Benkeser D, van der Laan M. The Highly Adaptive Lasso Estimator. Proceedings of the ... International Conference On Data Science and Advanced Analytics. Ieee International Conference On Data Science and Advanced Analytics. 2016: 689-696. PMID 29094111 DOI: 10.1109/DSAA.2016.93  0.351
2016 Tran L, Yiannoutsos CT, Musick BS, Wools-Kaloustian KK, Siika A, Kimaiyo S, van der Laan MJ, Petersen M. Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap. Epidemiologic Methods. 5: 69-91. PMID 28736692 DOI: 10.1515/em-2016-0004  0.519
2016 Balzer L, Ahern J, Galea S, van der Laan M. Estimating Effects with Rare Outcomes and High Dimensional Covariates: Knowledge is Power. Epidemiologic Methods. 5: 1-18. PMID 28529839 DOI: 10.1515/em-2014-0020  0.369
2016 Balzer LB, van der Laan MJ, Petersen ML. Adaptive pre-specification in randomized trials with and without pair-matching. Statistics in Medicine. 35: 4528-4545. PMID 27436797 DOI: 10.1002/Sim.7023  0.594
2016 van der Laan M, Gruber S. One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels. The International Journal of Biostatistics. 12: 351-78. PMID 27227728 DOI: 10.1515/Ijb-2015-0054  0.644
2016 Díaz I, Carone M, van der Laan MJ. Second-Order Inference for the Mean of a Variable Missing at Random. The International Journal of Biostatistics. 12: 333-49. PMID 27227727 DOI: 10.1515/Ijb-2015-0031  0.317
2016 Luedtke AR, van der Laan MJ. Super-Learning of an Optimal Dynamic Treatment Rule. The International Journal of Biostatistics. 12: 305-32. PMID 27227726 DOI: 10.1515/ijb-2015-0052  0.352
2016 Zheng W, Petersen M, van der Laan MJ. Doubly Robust and Efficient Estimation of Marginal Structural Models for the Hazard Function. The International Journal of Biostatistics. 12: 233-52. PMID 27227723 DOI: 10.1515/ijb-2015-0036  0.733
2016 LeDell E, van der Laan MJ, Petersen M. AUC-Maximizing Ensembles through Metalearning. The International Journal of Biostatistics. 12: 203-18. PMID 27227721 DOI: 10.1515/ijb-2015-0035  0.525
2016 Neugebauer R, Schmittdiel JA, van der Laan MJ. A Case Study of the Impact of Data-Adaptive Versus Model-Based Estimation of the Propensity Scores on Causal Inferences from Three Inverse Probability Weighting Estimators. The International Journal of Biostatistics. 12: 131-55. PMID 27227720 DOI: 10.1515/Ijb-2015-0028  0.676
2016 Hubbard AE, Kherad-Pajouh S, van der Laan MJ. Statistical Inference for Data Adaptive Target Parameters. The International Journal of Biostatistics. 12: 3-19. PMID 27227715 DOI: 10.1515/Ijb-2015-0013  0.514
2016 Chambaz A, Hubbard A, van der Laan MJ. Special Issue on Data-Adaptive Statistical Inference. The International Journal of Biostatistics. 12: 1. PMID 27227714 DOI: 10.1515/ijb-2016-0033  0.448
2016 Balzer LB, Petersen ML, van der Laan MJ. Targeted estimation and inference for the sample average treatment effect in trials with and without pair-matching. Statistics in Medicine. 35: 3717-32. PMID 27087478 DOI: 10.1002/Sim.6965  0.576
2016 Goldstein BA, Polley EC, Briggs FB, van der Laan MJ, Hubbard A. Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences. The International Journal of Biostatistics. 12: 117-29. PMID 26529567 DOI: 10.1515/Ijb-2015-0014  0.648
2016 Chambaz A, Hubbard A, Van Der Laan MJ. Special Issue on Data-Adaptive Statistical Inference International Journal of Biostatistics. 12: 1. DOI: 10.1515/ijb-2016-0033  0.448
2015 Lendle SD, Fireman B, van der Laan MJ. Balancing Score Adjusted Targeted Minimum Loss-based Estimation. Journal of Causal Inference. 3: 139-155. PMID 26561539 DOI: 10.1515/jci-2012-0012  0.333
2015 van der Laan MJ, Luedtke AR. Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule. Journal of Causal Inference. 3: 61-95. PMID 26236571 DOI: 10.1515/jci-2013-0022  0.348
2015 Weber AM, van der Laan MJ, Petersen ML. Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar. Journal of Causal Inference. 3: 109-130. PMID 26097800 DOI: 10.1515/jci-2013-0019  0.584
2015 Brown DM, Petersen M, Costello S, Noth EM, Hammond K, Cullen M, van der Laan M, Eisen E. Occupational Exposure to PM2.5 and Incidence of Ischemic Heart Disease: Longitudinal Targeted Minimum Loss-based Estimation. Epidemiology (Cambridge, Mass.). PMID 26079662 DOI: 10.1097/Ede.0000000000000329  0.513
2015 Petersen ML, LeDell E, Schwab J, Sarovar V, Gross R, Reynolds N, Haberer JE, Goggin K, Golin C, Arnsten J, Rosen MI, Remien RH, Etoori D, Wilson IB, Simoni JM, ... van der Laan MJ, et al. Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring. Journal of Acquired Immune Deficiency Syndromes (1999). 69: 109-18. PMID 25942462 DOI: 10.1097/Qai.0000000000000548  0.473
2015 Pirracchio R, Petersen ML, van der Laan M. Improving propensity score estimators' robustness to model misspecification using super learner. American Journal of Epidemiology. 181: 108-19. PMID 25515168 DOI: 10.1093/Aje/Kwu253  0.61
2015 Pirracchio R, Petersen ML, Carone M, Rigon MR, Chevret S, van der Laan MJ. Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study. The Lancet. Respiratory Medicine. 3: 42-52. PMID 25466337 DOI: 10.1016/S2213-2600(14)70239-5  0.462
2015 Balzer LB, Petersen ML, van der Laan MJ. Adaptive pair-matching in randomized trials with unbiased and efficient effect estimation. Statistics in Medicine. 34: 999-1011. PMID 25421503 DOI: 10.1002/Sim.6380  0.597
2015 Gruber S, van der Laan MJ. Consistent causal effect estimation under dual misspecification and implications for confounder selection procedures. Statistical Methods in Medical Research. 24: 1003-8. PMID 22368176 DOI: 10.1177/0962280212437451  0.644
2014 van der Laan MJ, Luedtke AR, Díaz I. Discussion of Identification, Estimation and Approximation of Risk under Interventions that Depend on the Natural Value of Treatment Using Observational Data, by Jessica Young, Miguel Hernán, and James Robins. Journal of Causal Inference. 3: 21-31. PMID 26636024 DOI: 10.1515/em-2014-0012  0.357
2014 van der Laan MJ. Causal Inference for a Population of Causally Connected Units. Journal of Causal Inference. 2: 13-74. PMID 26180755 DOI: 10.1515/jci-2013-0002  0.37
2014 Petersen M, Schwab J, Gruber S, Blaser N, Schomaker M, van der Laan M. Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models. Journal of Causal Inference. 2: 147-185. PMID 25909047 DOI: 10.1515/jci-2013-0007  0.73
2014 Wang H, Zhang Z, Rose S, van der Laan M. A novel targeted learning method for quantitative trait loci mapping. Genetics. 198: 1369-76. PMID 25258376 DOI: 10.1534/Genetics.114.168955  0.563
2014 Sapp S, van der Laan MJ, Canny J. Subsemble: an ensemble method for combining subset-specific algorithm fits. Journal of Applied Statistics. 41: 1247-1259. PMID 24778462 DOI: 10.1080/02664763.2013.864263  0.7
2014 Petersen ML, van der Laan MJ. Causal models and learning from data: integrating causal modeling and statistical estimation. Epidemiology (Cambridge, Mass.). 25: 418-26. PMID 24713881 DOI: 10.1097/Ede.0000000000000078  0.569
2014 Sapp S, van der Laan MJ, Page K. Targeted estimation of binary variable importance measures with interval-censored outcomes. The International Journal of Biostatistics. 10: 77-97. PMID 24637001 DOI: 10.1515/Ijb-2013-0009  0.752
2014 Neugebauer R, Schmittdiel JA, van der Laan MJ. Targeted learning in real-world comparative effectiveness research with time-varying interventions. Statistics in Medicine. 33: 2480-520. PMID 24535915 DOI: 10.1002/Sim.6099  0.688
2014 van der Laan MJ. Targeted estimation of nuisance parameters to obtain valid statistical inference. The International Journal of Biostatistics. 10: 29-57. PMID 24516006 DOI: 10.1515/ijb-2012-0038  0.401
2014 Rose S, van der Laan M. Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction". American Journal of Epidemiology. 179: 672-3. PMID 24488516 DOI: 10.1093/Aje/Kwt317  0.612
2014 Rose S, van der Laan M. A double robust approach to causal effects in case-control studies. American Journal of Epidemiology. 179: 663-9. PMID 24488515 DOI: 10.1093/Aje/Kwt318  0.59
2014 Brown D, Petersen M, van der Laan M, Costello S, Noth E, Hammond K, Cullen M, Eisen E. 0124 PM2.5 and Heart Disease in a Cohort of Aluminium Workers: An Application of Longitudinal Targeted Maximum Likelihood-based Estimation (TMLE) Occupational and Environmental Medicine. 71: A14.2-A14. DOI: 10.1136/Oemed-2014-102362.44  0.511
2013 van der Laan MJ, Petersen M, Zheng W. Estimating the Effect of a Community-Based Intervention with Two Communities. Journal of Causal Inference. 1: 83-106. PMID 25485209 DOI: 10.1515/jci-2012-0011  0.66
2013 Díaz I, van der Laan MJ. Sensitivity analysis for causal inference under unmeasured confounding and measurement error problems. The International Journal of Biostatistics. 9: 149-60. PMID 24246288 DOI: 10.1515/ijb-2013-0004  0.327
2013 Legrand M, Pirracchio R, Rosa A, Petersen ML, Van der Laan M, Fabiani JN, Fernandez-gerlinger MP, Podglajen I, Safran D, Cholley B, Mainardi JL. Incidence, risk factors and prediction of post-operative acute kidney injury following cardiac surgery for active infective endocarditis: an observational study. Critical Care (London, England). 17: R220. PMID 24093498 DOI: 10.1186/Cc13041  0.421
2013 Lendle SD, Fireman B, van der Laan MJ. Targeted maximum likelihood estimation in safety analysis. Journal of Clinical Epidemiology. 66: S91-8. PMID 23849159 DOI: 10.1016/j.jclinepi.2013.02.017  0.336
2013 Lendle SD, Subbaraman MS, van der Laan MJ. Identification and efficient estimation of the natural direct effect among the untreated. Biometrics. 69: 310-7. PMID 23607645 DOI: 10.1111/biom.12022  0.359
2013 Gruber S, van der Laan MJ. An application of targeted maximum likelihood estimation to the meta-analysis of safety data. Biometrics. 69: 254-62. PMID 23379761 DOI: 10.1111/J.1541-0420.2012.01829.X  0.651
2013 Brooks JC, van der Laan MJ, Singer DE, Go AS. Targeted Minimum Loss-Based Estimation of Causal Effects in Right-Censored Survival Data with Time-Dependent Covariates: Warfarin, Stroke, and Death in Atrial Fibrillation Journal of Causal Inference. 1: 235-254. DOI: 10.1515/jci-2013-0001  0.384
2013 Díaz I, van der Laan MJ. Targeted Data Adaptive Estimation of the Causal Dose–Response Curve Journal of Causal Inference. 1: 171-192. DOI: 10.1515/jci-2012-0005  0.384
2012 van der Laan MJ, Balzer LB, Petersen ML. ADAPTIVE MATCHING IN RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES. Journal of Statistical Research. 46: 113-156. PMID 25097298  0.58
2012 Malani A, Bembom O, van der Laan M. Accounting for heterogeneous treatment effects in the FDA approval process. Food and Drug Law Journal. 67: 23-50, i. PMID 24624647  0.758
2012 Chaffee P, van der Laan M. Discussion of Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer, by Wang et al. 2012. Journal of the American Statistical Association. 107: 513-517. PMID 23243329 DOI: 10.1080/01621459.2012.665197  0.761
2012 Chaffee P, van der Laan M. Discussion of Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer, by Wang et al. 2012. Journal of the American Statistical Association. 107: 513-517. PMID 23243329 DOI: 10.1080/01621459.2012.665197  0.761
2012 Brooks J, van der Laan MJ, Go AS. Targeted maximum likelihood estimation for prediction calibration. The International Journal of Biostatistics. 8: 30. PMID 23152434 DOI: 10.1515/1557-4679.1385  0.639
2012 Stitelman OM, De Gruttola V, van der Laan MJ. A general implementation of TMLE for longitudinal data applied to causal inference in survival analysis. The International Journal of Biostatistics. 8. PMID 22992289 DOI: 10.1515/1557-4679.1334  0.839
2012 Gruber S, van der Laan MJ. Targeted minimum loss based estimation of a causal effect on an outcome with known conditional bounds. The International Journal of Biostatistics. 8: 21. PMID 22850077 DOI: 10.1515/1557-4679.1413  0.633
2012 Chaffee PH, van der Laan MJ. Targeted maximum likelihood estimation for dynamic treatment regimes in sequentially randomized controlled trials. The International Journal of Biostatistics. 8: Article 14. PMID 22740582 DOI: 10.1515/1557-4679.1406  0.826
2012 Gruber S, van der Laan MJ. Targeted minimum loss based estimator that outperforms a given estimator. The International Journal of Biostatistics. 8: Article 11. PMID 22628356 DOI: 10.1515/1557-4679.1332  0.665
2012 van der Laan MJ, Gruber S. Targeted minimum loss based estimation of causal effects of multiple time point interventions. The International Journal of Biostatistics. 8. PMID 22611591 DOI: 10.1515/1557-4679.1370  0.67
2012 Zheng W, van der Laan MJ. Targeted maximum likelihood estimation of natural direct effects. The International Journal of Biostatistics. 8. PMID 22499725 DOI: 10.2202/1557-4679.1361  0.595
2012 Moore KL, Neugebauer R, van der Laan MJ, Tager IB. Causal inference in epidemiological studies with strong confounding. Statistics in Medicine. 31: 1380-404. PMID 22362629 DOI: 10.1002/Sim.4469  0.73
2012 Wester CW, Stitelman OM, deGruttola V, Bussmann H, Marlink RG, van der Laan MJ. Effect modification by sex and baseline CD4+ cell count among adults receiving combination antiretroviral therapy in Botswana: results from a clinical trial. Aids Research and Human Retroviruses. 28: 981-8. PMID 22309114 DOI: 10.1089/Aid.2011.0349  0.78
2012 Petersen ML, Porter KE, Gruber S, Wang Y, van der Laan MJ. Diagnosing and responding to violations in the positivity assumption. Statistical Methods in Medical Research. 21: 31-54. PMID 21030422 DOI: 10.1177/0962280210386207  0.708
2011 Díaz Muñoz I, van der Laan MJ. Super learner based conditional density estimation with application to marginal structural models. The International Journal of Biostatistics. 7: Article 38. PMID 22718677 DOI: 10.2202/1557-4679.1356  0.331
2011 Muñoz ID, van der Laan M. Population intervention causal effects based on stochastic interventions. Biometrics. 68: 541-9. PMID 21977966 DOI: 10.1111/j.1541-0420.2011.01685.x  0.311
2011 McCulloch M, Broffman M, van der Laan M, Hubbard A, Kushi L, Abrams DI, Gao J, Colford JM. Colon cancer survival with herbal medicine and vitamins combined with standard therapy in a whole-systems approach: ten-year follow-up data analyzed with marginal structural models and propensity score methods. Integrative Cancer Therapies. 10: 240-59. PMID 21964510 DOI: 10.1177/1534735411406539  0.403
2011 Porter KE, Gruber S, van der Laan MJ, Sekhon JS. The relative performance of targeted maximum likelihood estimators. The International Journal of Biostatistics. 7. PMID 21931570 DOI: 10.2202/1557-4679.1308  0.655
2011 McCulloch M, Broffman M, van der Laan M, Hubbard A, Kushi L, Kramer A, Gao J, Colford JM. Lung cancer survival with herbal medicine and vitamins in a whole-systems approach: ten-year follow-up data analyzed with marginal structural models and propensity score methods. Integrative Cancer Therapies. 10: 260-79. PMID 21824893 DOI: 10.1177/1534735411406439  0.391
2011 Wang H, Rose S, van der Laan MJ. Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning. Statistics & Probability Letters. 81: 792-796. PMID 21572586 DOI: 10.1016/J.Spl.2010.11.001  0.538
2011 Stitelman OM, Wester CW, De Gruttola V, van der Laan MJ. Targeted maximum likelihood estimation of effect modification parameters in survival analysis. The International Journal of Biostatistics. 7: 19. PMID 21556287 DOI: 10.2202/1557-4679.1307  0.825
2011 Rose S, van der Laan MJ. A targeted maximum likelihood estimator for two-stage designs. The International Journal of Biostatistics. 7: 17. PMID 21556285 DOI: 10.2202/1557-4679.1217  0.573
2011 Tuglus C, van der Laan MJ. Repeated measures semiparametric regression using targeted maximum likelihood methodology with application to transcription factor activity discovery. Statistical Applications in Genetics and Molecular Biology. 10: Article 2. PMID 21291412 DOI: 10.2202/1544-6115.1553  0.826
2010 Haight TJ, Wang Y, van der Laan MJ, Tager IB. A cross-validation deletion-substitution-addition model selection algorithm: Application to marginal structural models. Computational Statistics & Data Analysis. 54: 3080-3094. PMID 25505354 DOI: 10.1016/J.Csda.2010.02.002  0.337
2010 van der Laan MJ. Targeted maximum likelihood based causal inference: Part I. The International Journal of Biostatistics. 6: Article 2. PMID 21969992  0.386
2010 Stitelman OM, van der Laan MJ. Collaborative targeted maximum likelihood for time to event data. The International Journal of Biostatistics. 6: Article 21. PMID 21969976 DOI: 10.2202/1557-4679.1249  0.831
2010 Rosenblum M, van der Laan MJ. Targeted maximum likelihood estimation of the parameter of a marginal structural model. The International Journal of Biostatistics. 6: Article 19. PMID 21731532 DOI: 10.2202/1557-4679.1238  0.36
2010 van der Laan MJ. Targeted maximum likelihood based causal inference: Part II. The International Journal of Biostatistics. 6: Article 3. PMID 21731531 DOI: 10.2202/1557-4679.1241  0.372
2010 Gruber S, van der Laan MJ. An application of collaborative targeted maximum likelihood estimation in causal inference and genomics. The International Journal of Biostatistics. 6: Article 18. PMID 21731530 DOI: 10.2202/1557-4679.1182  0.648
2010 Gruber S, van der Laan MJ. A targeted maximum likelihood estimator of a causal effect on a bounded continuous outcome. The International Journal of Biostatistics. 6: Article 26. PMID 21731529 DOI: 10.2202/1557-4679.1260  0.666
2010 van der Laan MJ, Gruber S. Collaborative double robust targeted maximum likelihood estimation. The International Journal of Biostatistics. 6: Article 17. PMID 20628637 DOI: 10.2202/1557-4679.1181  0.648
2010 Rosenblum M, van der Laan MJ. Simple, efficient estimators of treatment effects in randomized trials using generalized linear models to leverage baseline variables. The International Journal of Biostatistics. 6: Article 13. PMID 20628636 DOI: 10.2202/1557-4679.1138  0.35
2010 Molinaro AM, Lostritto K, van der Laan M. partDSA: deletion/substitution/addition algorithm for partitioning the covariate space in prediction. Bioinformatics (Oxford, England). 26: 1357-63. PMID 20375111 DOI: 10.1093/Bioinformatics/Btq142  0.457
2010 Hubbard AE, Ahern J, Fleischer NL, Van der Laan M, Lippman SA, Jewell N, Bruckner T, Satariano WA. To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology (Cambridge, Mass.). 21: 467-74. PMID 20220526 DOI: 10.1097/Ede.0B013E3181Caeb90  0.548
2009 Moore KL, van der Laan MJ. Increasing power in randomized trials with right censored outcomes through covariate adjustment. Journal of Biopharmaceutical Statistics. 19: 1099-131. PMID 20183467 DOI: 10.1080/10543400903243017  0.567
2009 Fireman B, Lee J, Lewis N, Bembom O, van der Laan M, Baxter R. Influenza vaccination and mortality: differentiating vaccine effects from bias. American Journal of Epidemiology. 170: 650-6. PMID 19625341 DOI: 10.1093/Aje/Kwp173  0.756
2009 Bembom O, van der Laan M, Haight T, Tager I. Leisure-time physical activity and all-cause mortality in an elderly cohort. Epidemiology (Cambridge, Mass.). 20: 424-30. PMID 19333126 DOI: 10.1097/Ede.0B013E31819E3F28  0.743
2009 Tuglus C, van der Laan MJ. Modified FDR controlling procedure for multi-stage analyses. Statistical Applications in Genetics and Molecular Biology. 8: Article 12. PMID 19222379 DOI: 10.2202/1544-6115.1397  0.783
2009 Moore KL, van der Laan MJ. Covariate adjustment in randomized trials with binary outcomes: targeted maximum likelihood estimation. Statistics in Medicine. 28: 39-64. PMID 18985634 DOI: 10.1002/Sim.3445  0.595
2009 Bembom O, Petersen ML, Rhee SY, Fessel WJ, Sinisi SE, Shafer RW, van der Laan MJ. Biomarker discovery using targeted maximum-likelihood estimation: application to the treatment of antiretroviral-resistant HIV infection. Statistics in Medicine. 28: 152-72. PMID 18825650 DOI: 10.1002/Sim.3414  0.798
2008 Tuglus C, van der Laan MJ. DISCUSSION OF: TREELETS-AN ADAPTIVE MULTI-SCALE BASIS FOR SPARSE UNORDERED DATA. The Annals of Applied Statistics. 2: 489-493. PMID 25478036 DOI: 10.1214/07-Aoas137  0.776
2008 van der Laan MJ, Petersen ML. Direct effect models. The International Journal of Biostatistics. 4: Article 23. PMID 22462121 DOI: 10.2202/1557-4679.1064  0.626
2008 Rose S, van der Laan MJ. Simple optimal weighting of cases and controls in case-control studies. The International Journal of Biostatistics. 4: Article 19. PMID 20231910 DOI: 10.2202/1557-4679.1115  0.544
2008 Rubin DB, van der Laan MJ. Empirical efficiency maximization: improved locally efficient covariate adjustment in randomized experiments and survival analysis. The International Journal of Biostatistics. 4: Article 5. PMID 19381345  0.353
2008 Petersen ML, Molinaro AM, Sinisi SE, van der Laan MJ. Cross-Validated Bagged Learning. Journal of Multivariate Analysis. 25: 260-266. PMID 19255599 DOI: 10.1016/J.Jmva.2007.07.004  0.817
2008 Pollard KS, van der Laan MJ. Supervised distance matrices. Statistical Applications in Genetics and Molecular Biology. 7: Article 33. PMID 19049489 DOI: 10.2202/1544-6115.1404  0.56
2008 Dudoit S, Gilbert HN, van der Laan MJ. Resampling-based empirical Bayes multiple testing procedures for controlling generalized tail probability and expected value error rates: focus on the false discovery rate and simulation study. Biometrical Journal. Biometrische Zeitschrift. 50: 716-44. PMID 18932138 DOI: 10.1002/Bimj.200710473  0.569
2008 Petersen ML, van der Laan MJ, Napravnik S, Eron JJ, Moore RD, Deeks SG. Long-term consequences of the delay between virologic failure of highly active antiretroviral therapy and regimen modification. Aids (London, England). 22: 2097-106. PMID 18832873 DOI: 10.1097/Qad.0B013E32830F97E2  0.472
2008 Bembom O, van der Laan MJ. Analyzing sequentially randomized trials based on causal effect models for realistic individualized treatment rules. Statistics in Medicine. 27: 3689-716. PMID 18407580 DOI: 10.1002/Sim.3268  0.823
2007 Neugebauer R, van der Laan MJ, Joffe MM, Tager IB. Causal inference in longitudinal studies with history-restricted marginal structural models. Electronic Journal of Statistics. 1: 119-154. PMID 23087778 DOI: 10.1214/07-Ejs050  0.676
2007 Petersen ML, van der Laan MJ. Petersen et al. Respond to "Effect Modification by Time-varying Covariates" American Journal of Epidemiology. 166: 1003-1004. PMID 21399753 DOI: 10.1093/Aje/Kwm230  0.561
2007 van der Laan MJ, Petersen ML. Causal effect models for realistic individualized treatment and intention to treat rules. The International Journal of Biostatistics. 3: Article 3. PMID 19122793 DOI: 10.2202/1557-4679.1022  0.567
2007 van der Laan MJ, Petersen ML. Statistical learning of origin-specific statically optimal individualized treatment rules. The International Journal of Biostatistics. 3: Article 6. PMID 19122792 DOI: 10.2202/1557-4679.1040  0.544
2007 Bembom O, van der Laan MJ. A practical illustration of the importance of realistic individualized treatment rules in causal inference. Electronic Journal of Statistics. 1: 574-596. PMID 19079799 DOI: 10.1214/07-Ejs105  0.814
2007 Chen J, van der Laan MJ, Smith MT, Hubbard AE. A comparison of methods to control type I errors in microarray studies. Statistical Applications in Genetics and Molecular Biology. 6: Article28. PMID 18052911 DOI: 10.2202/1544-6115.1310  0.438
2007 Bembom O, van der Laan MJ. Statistical methods for analyzing sequentially randomized trials. Journal of the National Cancer Institute. 99: 1577-82. PMID 17971533 DOI: 10.1093/Jnci/Djm185  0.794
2007 van der Laan MJ, Polley EC, Hubbard AE. Super learner. Statistical Applications in Genetics and Molecular Biology. 6: Article25. PMID 17910531 DOI: 10.2202/1544-6115.1309  0.671
2007 Petersen ML, Deeks SG, Martin JN, van der Laan MJ. History-adjusted marginal structural models for estimating time-varying effect modification. American Journal of Epidemiology. 166: 985-93. PMID 17875580 DOI: 10.1093/Aje/Kwm232  0.601
2007 Petersen ML, Wang Y, van der Laan MJ, Guzman D, Riley E, Bangsberg DR. Pillbox organizers are associated with improved adherence to HIV antiretroviral therapy and viral suppression: a marginal structural model analysis. Clinical Infectious Diseases : An Official Publication of the Infectious Diseases Society of America. 45: 908-15. PMID 17806060 DOI: 10.1086/521250  0.446
2007 Petersen ML, Wang Y, van der Laan MJ, Rhee SY, Shafer RW, Fessel WJ. Virologic efficacy of boosted double versus boosted single protease inhibitor therapy. Aids (London, England). 21: 1547-54. PMID 17630549 DOI: 10.1097/Qad.0B013E32825A69A8  0.453
2007 Enanoria WT, Hubbard AE, van der Laan MJ, Chen M, Ruiz J, Colford JM. Early prediction of median survival among a large AIDS surveillance cohort. Bmc Public Health. 7: 127. PMID 17597532 DOI: 10.1186/1471-2458-7-127  0.473
2007 Petersen ML, Deeks SG, van der Laan MJ. Individualized treatment rules: generating candidate clinical trials. Statistics in Medicine. 26: 4578-601. PMID 17450501 DOI: 10.1002/Sim.2888  0.549
2007 Bembom O, Keles S, van der Laan MJ. Supervised detection of conserved motifs in DNA sequences with cosmo. Statistical Applications in Genetics and Molecular Biology. 6: Article8. PMID 17402923 DOI: 10.2202/1544-6115.1260  0.802
2007 Sinisi SE, Polley EC, Petersen ML, Rhee SY, van der Laan MJ. Super learning: an application to the prediction of HIV-1 drug resistance. Statistical Applications in Genetics and Molecular Biology. 6: Article7. PMID 17402922 DOI: 10.2202/1544-6115.1240  0.789
2006 Petersen ML, Wang Y, van der Laan MJ, Bangsberg DR. Assessing the effectiveness of antiretroviral adherence interventions. Using marginal structural models to replicate the findings of randomized controlled trials. Journal of Acquired Immune Deficiency Syndromes (1999). 43: S96-S103. PMID 17133209 DOI: 10.1097/01.Qai.0000248344.95135.8D  0.573
2006 Rubin D, Dudoit S, van der Laan M. A method to increase the power of multiple testing procedures through sample splitting. Statistical Applications in Genetics and Molecular Biology. 5: Article19. PMID 17049030 DOI: 10.2202/1544-6115.1148  0.625
2006 van der Laan MJ, Hubbard AE. Quantile-function based null distribution in resampling based multiple testing. Statistical Applications in Genetics and Molecular Biology. 5: Article14. PMID 17049025 DOI: 10.2202/1544-6115.1199  0.467
2006 Keleş S, van der Laan MJ, Dudoit S, Cawley SE. Multiple testing methods for ChIP-Chip high density oligonucleotide array data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 13: 579-613. PMID 16706714 DOI: 10.1089/Cmb.2006.13.579  0.698
2006 Sinisi SE, Neugebauer R, van der Laan MJ. Cross-validated bagged prediction of survival. Statistical Applications in Genetics and Molecular Biology. 5: Article12. PMID 16676466 DOI: 10.2202/1544-6115.1180  0.783
2006 Birkner MD, Hubbard AE, van der Laan MJ, Skibola CF, Hegedus CM, Smith MT. Issues of processing and multiple testing of SELDI-TOF MS proteomic data. Statistical Applications in Genetics and Molecular Biology. 5: Article11. PMID 16646865 DOI: 10.2202/1544-6115.1198  0.783
2006 Petersen ML, Sinisi SE, van der Laan MJ. Estimation of direct causal effects. Epidemiology (Cambridge, Mass.). 17: 276-84. PMID 16617276 DOI: 10.1097/01.Ede.0000208475.99429.2D  0.807
2006 Hothorn T, Bühlmann P, Dudoit S, Molinaro A, van der Laan MJ. Survival ensembles. Biostatistics (Oxford, England). 7: 355-73. PMID 16344280 DOI: 10.1093/biostatistics/kxj011  0.682
2006 Birkner MD, van der Laan MJ. Application of a Variable Importance Measure Method The International Journal of Biostatistics. 2. DOI: 10.2202/1557-4679.1013  0.765
2006 Quale CM, Van Der Laan MJ, Robins JR. Locally efficient estimation with bivariate eighteens data Journal of the American Statistical Association. 101: 1076-1084. DOI: 10.1198/016214506000000212  0.809
2005 Birkner MD, Sinisi SE, van der Laan MJ. Multiple testing and data adaptive regression: an application to HIV-1 sequence data. Statistical Applications in Genetics and Molecular Biology. 4: Article8. PMID 16646861 DOI: 10.2202/1544-6115.1110  0.792
2005 van der Laan MJ, Birkner MD, Hubbard AE. Empirical Bayes and resampling based multiple testing procedure controlling tail probability of the proportion of false positives. Statistical Applications in Genetics and Molecular Biology. 4: Article29. PMID 16646847 DOI: 10.2202/1544-6115.1143  0.798
2005 Xing B, van der Laan MJ. A causal inference approach for constructing transcriptional regulatory networks. Bioinformatics (Oxford, England). 21: 4007-13. PMID 16131521 DOI: 10.1093/bioinformatics/bti648  0.448
2005 Barrier A, Lemoine A, Boelle PY, Tse C, Brault D, Chiappini F, Breittschneider J, Lacaine F, Houry S, Huguier M, Van der Laan MJ, Speed T, Debuire B, Flahault A, Dudoit S. Colon cancer prognosis prediction by gene expression profiling. Oncogene. 24: 6155-64. PMID 16091735 DOI: 10.1038/Sj.Onc.1208984  0.566
2005 Mortimer KM, Neugebauer R, van der Laan M, Tager IB. An application of model-fitting procedures for marginal structural models. American Journal of Epidemiology. 162: 382-8. PMID 16014771 DOI: 10.1093/Aje/Kwi208  0.652
2005 Xing B, van der Laan MJ. A statistical method for constructing transcriptional regulatory networks using gene expression and sequence data. Journal of Computational Biology : a Journal of Computational Molecular Cell Biology. 12: 229-46. PMID 15767778 DOI: 10.1089/cmb.2005.12.229  0.483
2005 Colford JM, Wade TJ, Sandhu SK, Wright CC, Lee S, Shaw S, Fox K, Burns S, Benker A, Brookhart MA, van der Laan M, Levy DA. A randomized, controlled trial of in-home drinking water intervention to reduce gastrointestinal illness. American Journal of Epidemiology. 161: 472-82. PMID 15718483 DOI: 10.1093/Aje/Kwi067  0.424
2005 van der Laan MJ, Petersen ML, Joffe MM. History-Adjusted Marginal Structural Models and Statically-Optimal Dynamic Treatment Regimens The International Journal of Biostatistics. 1. DOI: 10.2202/1557-4679.1003  0.573
2004 van der Laan MJ, Dudoit S, Keles S. Asymptotic optimality of likelihood-based cross-validation. Statistical Applications in Genetics and Molecular Biology. 3: Article4. PMID 16646820 DOI: 10.2202/1544-6115.1036  0.74
2004 Sinisi SE, van der Laan MJ. Deletion/substitution/addition algorithm in learning with applications in genomics. Statistical Applications in Genetics and Molecular Biology. 3: Article18. PMID 16646796 DOI: 10.2202/1544-6115.1069  0.812
2004 van der Laan MJ, Dudoit S, Pollard KS. Augmentation procedures for control of the generalized family-wise error rate and tail probabilities for the proportion of false positives. Statistical Applications in Genetics and Molecular Biology. 3: Article15. PMID 16646793 DOI: 10.2202/1544-6115.1042  0.676
2004 van der Laan MJ, Dudoit S, Pollard KS. Multiple testing. Part II. Step-down procedures for control of the family-wise error rate. Statistical Applications in Genetics and Molecular Biology. 3: Article14. PMID 16646792 DOI: 10.2202/1544-6115.1041  0.702
2004 Dudoit S, van der Laan MJ, Pollard KS. Multiple testing. Part I. Single-step procedures for control of general type I error rates. Statistical Applications in Genetics and Molecular Biology. 3: Article13. PMID 16646791 DOI: 10.2202/1544-6115.1040  0.702
2004 Tager IB, Haight T, Sternfeld B, Yu Z, van Der Laan M. Effects of physical activity and body composition on functional limitation in the elderly: application of the marginal structural model. Epidemiology (Cambridge, Mass.). 15: 479-93. PMID 15232410 DOI: 10.1097/01.Ede.0000128401.55545.C6  0.378
2004 Bryan J, Yu Z, Van Der Laan MJ. Analysis of longitudinal marginal structural models. Biostatistics (Oxford, England). 5: 361-80. PMID 15208200 DOI: 10.1093/Biostatistics/Kxg041  0.571
2004 Keles S, van der Laan MJ, Vulpe C. Regulatory motif finding by logic regression. Bioinformatics (Oxford, England). 20: 2799-811. PMID 15166027 DOI: 10.1093/Bioinformatics/Bth333  0.537
2004 De Freitas JM, Kim JH, Poynton H, Su T, Wintz H, Fox T, Holman P, Loguinov A, Keles S, van der Laan M, Vulpe C. Exploratory and confirmatory gene expression profiling of mac1Delta. The Journal of Biological Chemistry. 279: 4450-8. PMID 14534306 DOI: 10.1074/Jbc.M212308200  0.482
2003 Keles S, van der Laan MJ, Dudoit S, Xing B, Eisen MB. Supervised detection of regulatory motifs in DNA sequences. Statistical Applications in Genetics and Molecular Biology. 2: Article5. PMID 16646783 DOI: 10.2202/1544-6115.1015  0.771
2003 Van der Laan MJ, Pollard KS, Bryan J. A new partitioning around medoids algorithm Journal of Statistical Computation and Simulation. 73: 575-584. DOI: 10.1080/0094965031000136012  0.442
2002 Brookhart MA, Hubbard AE, van der Laan MJ, Colford JM, Eisenberg JN. Statistical estimation of parameters in a disease transmission model: analysis of a Cryptosporidium outbreak. Statistics in Medicine. 21: 3627-38. PMID 12436460 DOI: 10.1002/Sim.1258  0.627
2002 Johnston SC, Henneman T, McCulloch CE, Van Der Laan M. Modeling treatment effects on binary outcomes with grouped-treatment variables and individual covariates American Journal of Epidemiology. 156: 753-760. PMID 12370164 DOI: 10.1093/Aje/Kwf095  0.79
2002 Pollard KS, van der Laan MJ. Statistical inference for simultaneous clustering of gene expression data. Mathematical Biosciences. 176: 99-121. PMID 11867086 DOI: 10.1016/S0025-5564(01)00116-X  0.503
2000 Quale CM, van der Laan MJ. Inference with bivariate truncated data. Lifetime Data Analysis. 6: 391-408. PMID 11190607 DOI: 10.1023/A:1026513500285  0.789
2000 Hubbard AE, Van der Laan MJ, Enanoria W, Colford JM. Nonparametric survival estimation when death is reported with delay. Lifetime Data Analysis. 6: 237-50. PMID 10949861 DOI: 10.1023/A:1009689625311  0.534
1999 van der Laan MJ, Hubbard A. Locally efficient estimation of the quality-adjusted lifetime distribution with right-censored data and covariates. Biometrics. 55: 530-6. PMID 11318210 DOI: 10.1111/J.0006-341X.1999.00530.X  0.537
1998 Van Der Laan MJ. Identity for the NPMLE in censored data models. Lifetime Data Analysis. 4: 83-102. PMID 9567057 DOI: 10.1023/A:1009660226816  0.345
1997 Van Der Laan MJ, Hubbard A. Estimation with Interval Censored Data and Covariates Lifetime Data Analysis. 3: 77-91. PMID 9384627 DOI: 10.1023/A:1009620319159  0.546
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