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 |