Mark J. van der Laan
Affiliations: | Statistics | University of California, Berkeley, Berkeley, CA |
Area:
Biostatistics Biology, EpidemiologyWebsite:
https://statistics.berkeley.edu/people/mark-van-der-laanGoogle:
"Mark J. van der Laan"Bio:
https://vanderlaan-lab.org/
http://videolectures.net/mark_van_der_laan/
https://www.math.uu.nl/publications/Theses/
Cross-listing: Epi Tree
Parents
Sign in to add mentorPeter J. Bickel | grad student | 1993 | Utrecht | |
Richard D. Gill | grad student | 1993 | Utrecht | |
(Efficient and inefficient estimation in semiparametric models.) |
Children
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Publications
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Gruber S, Phillips RV, Lee H, et al. (2022) 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 |
Li H, Rosete S, Coyle J, et al. (2022) Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials. Statistics in Medicine |
Balzer LB, van der Laan M, Ayieko J, et al. (2021) Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials. Biostatistics (Oxford, England) |
Rudolph KE, Sofrygin O, van der Laan MJ. (2021) Complier stochastic direct effects: identification and robust estimation. Journal of the American Statistical Association. 116: 1254-1264 |
Westling T, van der Laan MJ, Carone M. (2020) Correcting an estimator of a multivariate monotone function with isotonic regression. Electronic Journal of Statistics. 14: 3032-3069 |
Benkeser D, Petersen M, van der Laan MJ. (2020) Improved small-sample estimation of nonlinear cross-validated prediction metrics. Journal of the American Statistical Association. 115: 1917-1932 |
Benkeser D, Mertens A, Colford JM, et al. (2020) A machine learning-based approach for estimating and testing associations with multivariate outcomes. The International Journal of Biostatistics |
Cai W, van der Laan M. (2020) Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator. The International Journal of Biostatistics |
Balzer LB, Ayieko J, Kwarisiima D, et al. (2020) Far from MCAR: Obtaining population-level estimates of HIV viral suppression. Epidemiology (Cambridge, Mass.) |
Kreif N, Sofrygin O, Schmittdiel JA, et al. (2020) Exploiting non-systematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies. Biometrics |