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Parents

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Peter 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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Alan E. Hubbard grad student 1998 UC Berkeley
Derick R. Peterson grad student 1998 UC Berkeley
Maja Pavlic grad student 2001 UC Berkeley
Christopher M. Quale grad student 2001 UC Berkeley
Tanya A. Henneman grad student 2002 UC Berkeley
Zhuo Yu grad student 2002 UC Berkeley
M. Alan Brookhart grad student 2003 UC Berkeley
Sunduz Keles grad student 2003 UC Berkeley
Katherine S. Pollard grad student 1998-2003 UC Berkeley (Evolution Tree)
Annette M. Molinaro grad student 2004 UC Berkeley
Romain S. Neugebauer grad student 2004 UC Berkeley
Biao Xing grad student 2004 UC Berkeley
Merrill D. Birkner grad student 2006 UC Berkeley
Sandra E. Sinisi grad student 2006 UC Berkeley
Edward D. Bein grad student 2007 UC Berkeley
Oliver Bembom grad student 2007 UC Berkeley
Maya L. Petersen grad student 2007 UC Berkeley
Kelly L. Moore grad student 2009 UC Berkeley
Eric C. Polley grad student 2010 UC Berkeley
Ori M. Stitelman grad student 2010 UC Berkeley
Catherine A. Tuglus grad student 2010 UC Berkeley
Susan Gruber grad student 2011 UC Berkeley
Sherri Rose grad student 2011 UC Berkeley
Jordan C. Brooks grad student 2012 UC Berkeley
Paul H. Chaffee grad student 2012 UC Berkeley
Stephanie K. Sapp grad student 2014 UC Berkeley
Wenjing Zheng grad student 2014 UC Berkeley
BETA: Related publications

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
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