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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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Year Citation  Score
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  0.545
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  0.5
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  0.675
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  0.33
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  0.329
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  0.395
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  0.363
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  0.388
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  0.383
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  0.564
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  0.527
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  0.576
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  0.385
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  0.566
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  0.444
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  0.664
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  0.555
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  0.587
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  0.378
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  0.659
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  0.327
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  0.346
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  0.364
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  0.592
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  0.627
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  0.641
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  0.583
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  0.569
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  0.386
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  0.315
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  0.604
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  0.469
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  0.357
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  0.497
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  0.645
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  0.373
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  0.346
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  0.467
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  0.382
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  0.384
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  0.46
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  0.652
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  0.627
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  0.561
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  0.602
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  0.602
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  0.336
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  0.354
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  0.709
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  0.629
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  0.57
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  0.606
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  0.606
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  0.639
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  0.381
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  0.621
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  0.328
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  0.334
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  0.338
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  0.645
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  0.424
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  0.453
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  0.472
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  0.367
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  0.392
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  0.659
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  0.613
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  0.353
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  0.526
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  0.371
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  0.6
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  0.647
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  0.318
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  0.354
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  0.739
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  0.532
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  0.68
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  0.519
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  0.452
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  0.583
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  0.656
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  0.452
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  0.335
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  0.35
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  0.59
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  0.52
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  0.481
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  0.616
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  0.469
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  0.603
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  0.647
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  0.358
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  0.372
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  0.734
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  0.566
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  0.575
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  0.753
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  0.691
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  0.403
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  0.614
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  0.593
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  0.517
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  0.667
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  0.329
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  0.428
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  0.338
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  0.361
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  0.654
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  0.387
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  0.386
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  0.587
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  0.757
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  0.642
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  0.636
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  0.668
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  0.673
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  0.602
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  0.733
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  0.712
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  0.334
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  0.312
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  0.407
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  0.658
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  0.395
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  0.54
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  0.826
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  0.576
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  0.827
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  0.339
2010 van der Laan MJ. Targeted maximum likelihood based causal inference: Part I. The International Journal of Biostatistics. 6: Article 2. PMID 21969992  0.388
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  0.832
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  0.362
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  0.374
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  0.651
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  0.67
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  0.652
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  0.352
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  0.463
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  0.553
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  0.569
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  0.598
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  0.632
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  0.546
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  0.355
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  0.57
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  0.572
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  0.479
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  0.68
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  0.568
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  0.574
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  0.552
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  0.815
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  0.442
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  0.679
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  0.607
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  0.453
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  0.46
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  0.477
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  0.556
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  0.579
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  0.628
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  0.472
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  0.701
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  0.686
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  0.449
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  0.568
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  0.656
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  0.484
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  0.428
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  0.58
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  0.743
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  0.813
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  0.681
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  0.707
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  0.708
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  0.384
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  0.577
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  0.542
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  0.487
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  0.773
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  0.453
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  0.632
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  0.513
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  0.79
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  0.539
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  0.542
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  0.347
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  0.55
Low-probability matches (unlikely to be authored by this person)
2006 Jewell NP, van der Laan MJ, Shiboski S. Choice of monitoring mechanism for optimal nonparametric functional estimation for binary data International Journal of Biostatistics. 2. DOI: 10.2202/1557-4679.1031  0.3
2019 Carone M, Luedtke AR, van der Laan MJ. Toward computerized efficient estimation in infinite-dimensional models. Journal of the American Statistical Association. 114: 1174-1190. PMID 32405108 DOI: 10.1080/01621459.2018.1482752  0.298
2018 Price BL, Gilbert PB, van der Laan MJ. Estimation of the optimal surrogate based on a randomized trial. Biometrics. PMID 29701875 DOI: 10.1111/biom.12879  0.297
2022 Hejazi NS, Rudolph KE, Van Der Laan MJ, Díaz I. Nonparametric causal mediation analysis for stochastic interventional (in)direct effects. Biostatistics (Oxford, England). PMID 35102366 DOI: 10.1093/biostatistics/kxac002  0.289
2014 Chambaz A, Van der Laan MJ. Inference in targeted group-sequential covariate-adjusted randomized clinical trials Scandinavian Journal of Statistics. 41: 104-140. DOI: 10.1111/sjos.12013  0.287
2017 Rudolph KE, van der Laan MJ. Robust estimation of encouragement-design intervention effects transported across sites. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 79: 1509-1525. PMID 29375249 DOI: 10.1111/rssb.12213  0.286
2008 van der Laan MJ. Estimation based on case-control designs with known prevalence probability. The International Journal of Biostatistics. 4: Article 17. PMID 22462152  0.286
2016 Luedtke AR, van der Laan MJ. STATISTICAL INFERENCE FOR THE MEAN OUTCOME UNDER A POSSIBLY NON-UNIQUE OPTIMAL TREATMENT STRATEGY. Annals of Statistics. 44: 713-742. PMID 30662101 DOI: 10.1214/15-AOS1384  0.283
2003 VAN DER Laan MJ, Jewell NP. CURRENT STATUS AND RIGHT-CENSORED DATA STRUCTURES WHEN OBSERVING A MARKER AT THE CENSORING TIME. Annals of Statistics. 31: 512-535. PMID 18633452 DOI: 10.1901/Jaba.2003.31-512  0.272
2012 Chambaz A, Neuvial P, van der Laan MJ. Estimation of a non-parametric variable importance measure of a continuous exposure. Electronic Journal of Statistics. 6: 1059-1099. PMID 23336014 DOI: 10.1214/12-EJS703  0.27
2012 Chambaz A, Neuvial P, van der Laan MJ. Estimation of a non-parametric variable importance measure of a continuous exposure Electronic Journal of Statistics. 6: 1059-1099. DOI: 10.1214/12-EJS703  0.27
2017 Luedtke AR, van der Laan MJ. Evaluating the impact of treating the optimal subgroup. Statistical Methods in Medical Research. 26: 1630-1640. PMID 28482779 DOI: 10.1177/0962280217708664  0.268
2013 Díaz I, van der Laan MJ. Assessing the causal effect of policies: an example using stochastic interventions. The International Journal of Biostatistics. 9: 161-74. PMID 24246287 DOI: 10.1515/ijb-2013-0014  0.264
2014 Schnitzer ME, Moodie EE, van der Laan MJ, Platt RW, Klein MB. Modeling the impact of hepatitis C viral clearance on end-stage liver disease in an HIV co-infected cohort with targeted maximum likelihood estimation. Biometrics. 70: 144-52. PMID 24571372 DOI: 10.1111/Biom.12105  0.258
2009 Rosenblum M, van der Laan MJ. Using regression models to analyze randomized trials: asymptotically valid hypothesis tests despite incorrectly specified models. Biometrics. 65: 937-45. PMID 19210739 DOI: 10.1111/J.1541-0420.2008.01177.X  0.257
2014 Schnitzer ME, van der Laan MJ, Moodie EE, Platt RW. EFFECT OF BREASTFEEDING ON GASTROINTESTINAL INFECTION IN INFANTS: A TARGETED MAXIMUM LIKELIHOOD APPROACH FOR CLUSTERED LONGITUDINAL DATA. The Annals of Applied Statistics. 8: 703-725. PMID 25505499  0.255
2020 Rudolph KE, Levy J, van der Laan MJ. Transporting stochastic direct and indirect effects to new populations. Biometrics. PMID 32277465 DOI: 10.1111/biom.13274  0.254
2016 Luedtke AR, van der Laan MJ. Optimal Individualized Treatments in Resource-Limited Settings. The International Journal of Biostatistics. 12: 283-303. PMID 27227725 DOI: 10.1515/ijb-2015-0007  0.254
2006 van der Vaart A, van der Laan MJ. Estimating a Survival Distribution with Current Status Data and High-dimensional Covariates The International Journal of Biostatistics. 2. DOI: 10.2202/1557-4679.1014  0.249
2017 Acion L, Kelmansky D, van der Laan M, Sahker E, Jones D, Arndt S. Use of a machine learning framework to predict substance use disorder treatment success. Plos One. 12: e0175383. PMID 28394905 DOI: 10.1371/journal.pone.0175383  0.247
2012 Geeven G, van der Laan MJ, de Gunst MC. Comparison of targeted maximum likelihood and shrinkage estimators of parameters in gene networks. Statistical Applications in Genetics and Molecular Biology. 11: Article 2. PMID 23023699 DOI: 10.1515/1544-6115.1728  0.24
2007 Rubin D, van der Laan MJ. A doubly robust censoring unbiased transformation. The International Journal of Biostatistics. 3: Article 4. PMID 22550646  0.239
2003 van der Vaart A, van der Laan M. Smooth estimation of a monotone density Statistics. 37: 189-203. DOI: 10.1080/0233188031000124392  0.234
2019 Luedtke AR, Carone M, van der Laan MJ. An omnibus non-parametric test of equality in distribution for unknown functions. Journal of the Royal Statistical Society. Series B, Statistical Methodology. 81: 75-99. PMID 31024219 DOI: 10.1111/Rssb.12299  0.23
2012 Rubin DB, van der Laan MJ. Statistical issues and limitations in personalized medicine research with clinical trials. The International Journal of Biostatistics. 8: 18. PMID 22850073 DOI: 10.1515/1557-4679.1423  0.228
2019 Ju C, Combs M, Lendle SD, Franklin JM, Wyss R, Schneeweiss S, van der Laan MJ. Propensity score prediction for electronic healthcare databases using Super Learner and High-dimensional Propensity Score Methods. Journal of Applied Statistics. 46: 2216-2236. PMID 32843815 DOI: 10.1080/02664763.2019.1582614  0.224
2014 Chambaz A, Choudat D, Huber C, Pairon JC, van der Laan MJ. Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case-control data. Biostatistics (Oxford, England). 15: 327-40. PMID 24115271 DOI: 10.1093/biostatistics/kxt042  0.219
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. DOI: 10.1080/02664763.2013.864263  0.216
2020 Hejazi NS, van der Laan MJ, Janes HE, Gilbert PB, Benkeser DC. Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials. Biometrics. PMID 32949147 DOI: 10.1111/biom.13375  0.209
2019 Murphy SA, van der Laan MJ, Robins JM. Marginal Mean Models for Dynamic Regimes. Journal of the American Statistical Association. 96: 1410-1423. PMID 20019887 DOI: 10.1198/016214501753382327  0.204
2015 Luedtke AR, Carone M, van der Laan MJ. Discussion of "Deductive derivation and turing-computerization of semiparametric efficient estimation" by Frangakis et al. Biometrics. 71: 875-9. PMID 26243187 DOI: 10.1111/Biom.12363  0.202
2011 Rosenblum M, Van der Laan MJ. Optimizing randomized trial designs to distinguish which subpopulations benefit from treatment. Biometrika. 98: 845-860. PMID 23049131 DOI: 10.1093/Biomet/Asr055  0.199
2019 VanderWeele TJ, Luedtke AR, van der Laan MJ, Kessler RC. Selecting optimal subgroups for treatment using many covariates. Epidemiology (Cambridge, Mass.). PMID 30789432 DOI: 10.1097/EDE.0000000000000991  0.196
2023 Bibaut A, Kallus N, Dimakopoulou M, Chambaz A, van der Laan M. Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. Advances in Neural Information Processing Systems. 34: 19261-19273. PMID 36590675  0.194
2011 Wang H, van der Laan MJ. Dimension reduction with gene expression data using targeted variable importance measurement. Bmc Bioinformatics. 12: 312. PMID 21849016 DOI: 10.1186/1471-2105-12-312  0.194
2021 Valdes G, Interian Y, Gennatas E, Van der Laan M. The Conditional Super Learner. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 34851823 DOI: 10.1109/TPAMI.2021.3131976  0.191
2009 Rosenblum M, Jewell NP, van der Laan M, Shiboski S, van der Straten A, Padian N. Analyzing Direct Effects in Randomized Trials with Secondary Interventions: An Application to HIV Prevention Trials. Journal of the Royal Statistical Society. Series a, (Statistics in Society). 172: 443-465. PMID 20827388 DOI: 10.1111/J.1467-985X.2009.00585.X  0.188
2016 Davies MM, van der Laan MJ. Optimal Spatial Prediction Using Ensemble Machine Learning. The International Journal of Biostatistics. 12: 179-201. PMID 27130244 DOI: 10.1515/ijb-2014-0060  0.174
2020 Andrade-Pacheco R, Rerolle F, Lemoine J, Hernandez L, Meïté A, Juziwelo L, Bibaut AF, van der Laan MJ, Arnold BF, Sturrock HJW. Finding hotspots: development of an adaptive spatial sampling approach. Scientific Reports. 10: 10939. PMID 32616757 DOI: 10.1038/S41598-020-67666-3  0.17
2011 Chambaz A, van der Laan MJ. Targeting the Optimal Design in Randomized Clinical Trials with Binary Outcomes and No Covariate: Simulation Study The International Journal of Biostatistics. 7: 1-30. DOI: 10.2202/1557-4679.1310  0.168
2011 Chambaz A, Van Der Laan MJ. Targeting the optimal design in randomized clinical trials with binary outcomes and no covariate: Theoretical study International Journal of Biostatistics. 7. DOI: 10.2202/1557-4679.1247  0.165
2006 van der Laan MJ. Statistical Inference for Variable Importance The International Journal of Biostatistics. 2. DOI: 10.2202/1557-4679.1008  0.161
2020 Gennatas ED, Friedman JH, Ungar LH, Pirracchio R, Eaton E, Reichmann LG, Interian Y, Luna JM, Simone CB, Auerbach A, Delgado E, van der Laan MJ, Solberg TD, Valdes G. Expert-augmented machine learning. Proceedings of the National Academy of Sciences of the United States of America. PMID 32071251 DOI: 10.1073/Pnas.1906831117  0.158
2005 Mukherjee S, Roberts SJ, van der Laan MJ. Data-adaptive test statistics for microarray data. Bioinformatics (Oxford, England). 21: ii108-14. PMID 16204088 DOI: 10.1093/bioinformatics/bti1119  0.157
2001 van der Laan MJ, Bryan J. Gene expression analysis with the parametric bootstrap. Biostatistics (Oxford, England). 2: 445-61. PMID 12933635 DOI: 10.1093/biostatistics/2.4.445  0.146
2002 Kele? S, van der Laan M, Eisen MB. Identification of regulatory elements using a feature selection method. Bioinformatics (Oxford, England). 18: 1167-75. PMID 12217908 DOI: 10.1093/Bioinformatics/18.9.1167  0.144
2011 van der Laan M, Lorenz TJ. Addressing missing data in clinical trials Annals of Internal Medicine. 155: 135. PMID 21768593 DOI: 10.7326/0003-4819-155-2-201107190-00016  0.126
2013 Subbaraman MS, Lendle S, van der Laan M, Kaskutas LA, Ahern J. Cravings as a mediator and moderator of drinking outcomes in the COMBINE study. Addiction (Abingdon, England). 108: 1737-44. PMID 23668624 DOI: 10.1111/add.12238  0.126
2022 Savy N, Moodie EE, Drouet I, Chambaz A, Falissard B, Kosorok MR, Krakow EF, Mayo DG, Senn S, Van der Laan M. Statistics, philosophy, and health: the SMAC 2021 webconference. The International Journal of Biostatistics. PMID 36476947 DOI: 10.1515/ijb-2022-0017  0.125
2007 Padian NS, van der Straten A, Ramjee G, Chipato T, de Bruyn G, Blanchard K, Shiboski S, Montgomery ET, Fancher H, Cheng H, Rosenblum M, van der Laan M, Jewell N, McIntyre J. Diaphragm and lubricant gel for prevention of HIV acquisition in southern African women: a randomised controlled trial. Lancet (London, England). 370: 251-61. PMID 17631387 DOI: 10.1016/S0140-6736(07)60950-7  0.123
2000 Van Der Laan MJ, Van Der Laan P. Subset Selection Based on Order Statistics from Logistic Populations Statistics. 34: 237-245. DOI: 10.1080/02331880008802715  0.122
2006 De Gruttola V, Flexner C, Schapiro J, Hughes M, Van Der Laan M, Kuritzkes DR. Drug development strategies for salvage therapy: conflicts and solutions. Aids Research and Human Retroviruses. 22: 1106-9. PMID 17147496 DOI: 10.1089/Aid.2006.22.1106  0.118
2013 Haight TJ, van der Laan MJ, Manini T, Tager IB. Direct effects of leisure-time physical activity on walking speed. The Journal of Nutrition, Health & Aging. 17: 666-73. PMID 24097020 DOI: 10.1007/S12603-013-0024-9  0.11
2005 Haight T, Tager I, Sternfeld B, Satariano W, van der Laan M. Effects of body composition and leisure-time physical activity on transitions in physical functioning in the elderly. American Journal of Epidemiology. 162: 607-17. PMID 16120711 DOI: 10.1093/Aje/Kwi254  0.101
2011 Odden MC, Tager IB, van der Laan MJ, Delaney JA, Peralta CA, Katz R, Sarnak MJ, Psaty BM, Shlipak MG. Antihypertensive medication use and change in kidney function in elderly adults: a marginal structural model analysis. The International Journal of Biostatistics. 7: Article 34. PMID 22049266 DOI: 10.2202/1557-4679.1320  0.097
2018 Ju C, Bibaut A, van der Laan M. The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification. Journal of Applied Statistics. 45: 2800-2818. PMID 31631918 DOI: 10.1080/02664763.2018.1441383  0.088
2009 Rosenblum M, Deeks SG, van der Laan M, Bangsberg DR. The risk of virologic failure decreases with duration of HIV suppression, at greater than 50% adherence to antiretroviral therapy. Plos One. 4: e7196. PMID 19787058 DOI: 10.1371/Journal.Pone.0007196  0.085
2019 Ju C, Combs M, Lendle SD, Franklin JM, Wyss R, Schneeweiss S, van der Laan MJ. Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods Journal of Applied Statistics. 46: 2216-2236. DOI: 10.1080/02664763.2019.1582614  0.084
2018 Gianfrancesco MA, Trupin L, Shiboski S, van der Laan M, Graf J, Imboden J, Yazdany J, Schmajuk G. Smoking Is Associated with Higher Disease Activity in Rheumatoid Arthritis: A Longitudinal Study Controlling for Time-varying Covariates. The Journal of Rheumatology. 46: 370-375. PMID 30504507 DOI: 10.3899/jrheum.180262  0.082
2020 Rudolph K, Diaz I, Hejazi N, van der Laan M, Luo S, Shulman M, Campbell A, Rotrosen J, Nunes E. Explaining differential effects of medication for opioid use disorder using a novel approach incorporating mediating variables. Addiction (Abingdon, England). PMID 33340181 DOI: 10.1111/add.15377  0.075
2022 Phillips RV, van der Laan MJ. Discussion on "Adaptive enrichment designs with a continuous biomarker" by Nigel Stallard. Biometrics. PMID 35332936 DOI: 10.1111/biom.13640  0.07
2008 Rubin DB, van der Laan MJ. Rejoinder to Tan. The International Journal of Biostatistics. 4: Article 12. PMID 22462124  0.063
2020 Kellermayer R, van der Laan M. Validation of Predictive Models in Inflammatory Bowel Diseases. Gastroenterology. 160: 21-22. PMID 33188805 DOI: 10.1053/j.gastro.2020.11.005  0.062
2000 Norris JC, van der Laan M, Block G. Morbidity and health--National Health Interview Survey, 1987. In generalized additive models. Annals of the New York Academy of Sciences. 896: 461-4. PMID 10681951 DOI: 10.1111/J.1749-6632.1999.Tb08170.X  0.052
2020 VanderWeele TJ, van der Laan MJ, Kessler RC. The Authors Respond. Epidemiology (Cambridge, Mass.). 31: e34. PMID 32483070 DOI: 10.1097/EDE.0000000000001190  0.031
2019 VanderWeele TJ, Luedtke AR, van der Laan MJ, Kessler RC. The Authors Respond. Epidemiology (Cambridge, Mass.). PMID 31880639 DOI: 10.1097/EDE.0000000000001157  0.031
2016 Luedtke AR, van der Laan MJ. Comment. Journal of the American Statistical Association. 111: 1526-1530. PMID 32394991 DOI: 10.1080/01621459.2016.1242427  0.028
2000 Robins JM, Rotnitzky A, Van Der Laan M. Comment Journal of the American Statistical Association. 95: 477-482. DOI: 10.1080/01621459.2000.10474224  0.028
2003 Norris JC, van der Laan MJ, Lane S, Anderson JN, Block G. Nonlinearity in demographic and behavioral determinants of morbidity. Health Services Research. 38: 1791-818. PMID 14727798 DOI: 10.1111/J.1475-6773.2003.00203.X  0.02
2016 Ahern J, Karasek D, Luedtke AR, Bruckner TA, van der Laan MJ. Racial/Ethnic Differences in the Role of Childhood Adversities for Mental Disorders Among a Nationally Representative Sample of Adolescents. Epidemiology (Cambridge, Mass.). 27: 697-704. PMID 27196805 DOI: 10.1097/EDE.0000000000000507  0.017
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