Publications

Title Author Year Publication typesort descending
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