Publications

Titlesort descending Author Year Publication type
Targeted Learning in Data Science - Causal Inference for Complex Longitudinal Studies M.J. van der Laan; S. Rose 2018 Book
Targeted Learning in Data Science: Causal Inference for Complex Longitudinal Sherri Rose; Mark van der Laan 2018 Book
Targeted Learning in real-world comparative effectiveness research with time-varying interventions R. Neugebauer; J. Schmittdiel; M.J. van der Laan 2014 Journal Article
Targeted learning of the mean outcome under an optimal dynamic treatment rule M. J. van der Laan; A. R. Luedtke 2014 Journal Article
Targeted Learning, Causal Inference for Observational and Experimental Data M.J. van der Laan; S. Rose 2011 Book
Targeted Learning: Causal Inference for Observational and Experimental Data Sherri Rose; Mark van der Laan 2011 Book
Targeted Maximum Likelihood Based Causal Inference Part I M.J. van der Laan 2010 Journal Article
Targeted Maximum Likelihood Based Causal Inference Part II M.J. van der Laan 2010 Journal Article
Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models Petersen M, Schwab J, Gruber S, Blaser N, Schomaker M, van der Laan M. 2014 Journal Article
Targeted Maximum Likelihood Learning Mark van der Laan; Dan Rubin 2006 Journal Article
Targeted Minimum Loss Based Estimation of Marginal Structural Working Models M. Petersen; J. Schwab; S. Gruber; N. Blaser; M. Schomaker; M.J. van der Laan 2013 Journal Article
Targeted Minimum Loss-Based Estimation of Causal Effects in Right-Censored Survival Data with Time Dependent Covariates: Warfarin, Stroke, and Death in Atrial Fibrillation J. Brooks; M. J. van der Laan; D.E. Singer; A. S. Go 2013 Journal Article
The Cross-validated Adaptive Epsilon-Net Estimator Mark J. van der Laan; Sandrine Dudoit; Aad W. van der Vaart 2009 Journal Article
The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions Montoya LM, van der Laan MJ, Luedtke AR, Skeem JL, Coyle JR, Petersen ML. 2022 Journal Article
Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data Hubbard, Alan; Munoz, Ivan Diaz; Decker, Anna; Holcomb, John B.; Schreiber, Martin A.; Bulger, Eileen M.; Brasel, Karen J.; Fox, Erin E.; del Junco, Deborah J.; Wade, Charles E.; others 2013 Journal Article
To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health Hubbard, A. E.; Ahern, J.; Fleischer, N. L.; Laan, M. V.; Lippman, S. A.; Jewell, N.; Bruckner, T.; Satariano, W. A. 2010 Journal Article
Unified methods for Censored Longitudinal Data and Causality M.J. van der Laan; J.M. Robins 2003 Book
Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of patients with COVID-19 over time: a large population-based cohort study in Mexico Lauren D Liao, Alan E Hubbard, Juan Pablo Gutierrez, Arturo Juárez-Flores, Kendall Kikkawa, Ronit Gupta, Yana Yarmolich, Iván de Jesús Ascencio-Montiel, Stefano M Bertozzi 2023 Journal Article