Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics |
Benkeser D, Petersen M & van der Laan MJ |
2019 |
Journal Article |
Countering the Curse of Dimensionality: Exploring Data-generating Mechanisms Through Participant Observation and Mechanistic Modeling; Epidemiology |
Hubbard, Alan; Trostle, James; Trostle, James; Cangemi, Ivan; Eisenberg, Joseph N. S |
2020 |
Journal Article |
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 |
Targeted Maximum Likelihood Based Causal Inference Part I |
M.J. van der Laan |
2010 |
Journal Article |
Quantile-function based null distribution in resampling based multiple testing |
van der Laan, Mark J.; Hubbard, Alan E. |
2006 |
Journal Article |
Statistical inference for the mean outcome under a possibly non-unique optimal treatment strategy |
A. R. Luedtke; M. J. van der Laan |
2019 |
Journal Article |
Machine learning to identify persons at high-risk of HIV acquisition in rural Kenya and Uganda |
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, Bukusi EA, van der Laan M, Petersen ML. |
2020 |
Journal Article |
Big data and targeted machine learning in action to assist medical decision in the ICU; Anesthesia Critical Care \& Pain Medicine |
Pirracchio, Romain; Cohen, Mitchell J.; Malenica, Ivana; Cohen, Jonathan; Chambaz, Antoine; Cannesson, Maxime; Lee, Christine; Resche-Rigon, Matthieu; Hubbard, Alan E. |
2019 |
Journal Article |
Causes and Consequences of Child Growth Faltering in Low-resource settings |
Andrew Mertens, Jade Benjamin-Chung, John M. Colford Jr, Jeremy Coyle, Mark J. van der Laan, Alan E. Hubbard, Sonali Rosete, Ivana Malenica, Nima Hejazi, Oleg Sofrygin, Wilson Cai, Haodong Li, etc. |
2023 |
Journal Article |
Targeted Maximum Likelihood Based Causal Inference Part II |
M.J. van der Laan |
2010 |
Journal Article |
Mass extinctions as statistical phenomena: an examination of the evidence using chi-square tests and bootstrapping |
Hubbard, Alan E.; Gilinsky, Norman L. |
1992 |
Journal Article |
Targeted Learning: Causal Inference for Observational and Experimental Data |
Sherri Rose; Mark van der Laan |
2011 |
Book |
Targeted Learning in Data Science: Causal Inference for Complex Longitudinal |
Sherri Rose; Mark van der Laan |
2018 |
Book |
Targeted Learning Handbook: Causal Machine Learning and Inference in the tlverse R Software Ecosystem |
Jeremy Coyle, Mark van der Laan, Alan Hubbard, Rachael Phillips, Ivana Malenica, Nima Hejazi |
2022 |
Book |
Unified methods for Censored Longitudinal Data and Causality |
M.J. van der Laan; J.M. Robins |
2003 |
Book |
Resampling Based Multiple Testing with Applications to Genomics |
S. Dudoit; M.J. van der Laan |
2009 |
Book |
Targeted Learning, Causal Inference for Observational and Experimental Data |
M.J. van der Laan; S. Rose |
2011 |
Book |
Targeted Learning in Data Science - Causal Inference for Complex Longitudinal Studies |
M.J. van der Laan; S. Rose |
2018 |
Book |