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 |
Unified methods for Censored Longitudinal Data and Causality |
M.J. van der Laan; J.M. Robins |
2003 |
Book |
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 |
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 |
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 |
The Cross-validated Adaptive Epsilon-Net Estimator |
Mark J. van der Laan; Sandrine Dudoit; Aad W. van der Vaart |
2009 |
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 |
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 Maximum Likelihood Learning |
Mark van der Laan; Dan Rubin |
2006 |
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 Based Causal Inference Part II |
M.J. van der Laan |
2010 |
Journal Article |
Targeted Maximum Likelihood Based Causal Inference Part I |
M.J. van der Laan |
2010 |
Journal Article |
Targeted Learning: Causal Inference for Observational and Experimental Data |
Sherri Rose; Mark van der Laan |
2011 |
Book |
Targeted Learning, Causal Inference for Observational and Experimental Data |
M.J. van der Laan; S. Rose |
2011 |
Book |
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 in real-world comparative effectiveness research with time-varying interventions |
R. Neugebauer; J. Schmittdiel; M.J. van der Laan |
2014 |
Journal Article |
Targeted Learning in Data Science: Causal Inference for Complex Longitudinal |
Sherri Rose; Mark van der Laan |
2018 |
Book |
Targeted Learning in Data Science - Causal Inference for Complex Longitudinal Studies |
M.J. van der Laan; S. Rose |
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 |
Targeted estimation and inference for the sample average treatment effect in trials with and without pair matching |
†Balzer, L; Petersen, M; van der Laan, M; the SEARCH Collaboration |
2016 |
Journal Article |
SuperNOVA: Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions in R |
David McCoy, Ph.D.; Alejandro Schuler, Ph.D.; Alan Hubbard, Ph.D.; Mark van der Laan, Ph.D. |
2023 |
Journal Article |
Super learner analysis of real-time electronically monitored adherence to antiretroviral therapy under constrained optimization and comparison to non-differentiated care approaches for persons living with HIV in rural Uganda |
†Benitez AE, Musinguzi N, Bangsberg DR, Bwana MB, Muzoora C, Hunt PW, Martin JN, Haberer JE, Petersen ML |
2020 |
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 |
Statistical Inference for Data Adaptive Target Parameters |
Hubbard, A.; Kherad-Pajouh, S.; van der Laan, M. |
2016 |
Journal Article |
Resampling Based Multiple Testing with Applications to Genomics |
S. Dudoit; M.J. van der Laan |
2009 |
Book |
Quantile-function based null distribution in resampling based multiple testing |
van der Laan, Mark J.; Hubbard, Alan E. |
2006 |
Journal Article |
Population intervention models in causal inference |
Hubbard, Alan E.; van der Laan, Mark J. |
2008 |
Journal Article |
Petersen M. Constrained binary classification using ensemble learning: an application to cost-efficient targeted PrEP strategies |
†Zheng W; §Balzer L; van der Laan M |
2017 |
Journal Article |
Oracle Inequalities for Multi-Fold Cross-Validation |
Aad W. van der Vaart; S. Dudoit; M.J. van der Laan |
2006 |
Journal Article |
Optimal Individualized Treatments in Resource-Limited Settings |
A. Luedtke; M. van der Laan |
2018 |
Journal Article |
Mining with Inference: Data Adaptive Target Parameters |
Hubbard, Alan E.; van der Laan, Mark J. |
2019 |
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 |
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 |
Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes |
W. Zheng; M. van der Laan |
2017 |
Journal Article |
Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics |
Benkeser D, Petersen M & van der Laan MJ |
2019 |
Journal Article |
HIV Testing and Treatment with the Use of a Community Health Approach in Rural Africa |
Havlir DV, Balzer LB, Charlebois ED, Clark TD, Kwarisiima D, Ayieko J, Kabami J, Sang N, Liegler T, Chamie G, Camlin CS, Jain V, Kadede K, Atukunda M, Ruel T, Shade SB, Ssemmondo E, Byonanebye DM, Mwangwa F, Owaraganise A, Olilo W, Black D, Snyman K,; Burger R, Getahun M, Achando J, Awuonda B, Nakato H, Kironde J, Okiror S, Thirumurthy H, Koss C, Brown L, Marquez C, Schwab J, Lavoy G, Plenty A, Mugoma Wafula E, Omanya P, Chen YH, Rooney JF, Bacon M, van der Laan M, Cohen CR, Bukusi E, Kamya MR,; Petersen M. |
2019 |
Journal Article |
Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap. |
†Tran L; Yiannoutsos CT; Musick BS; Wools-Kaloustian K; Siika A; Kimaiyo S; van der Laan M; Petersen M |
2016 |
Journal Article |
Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions |
Montoya LM, van der Laan MJ, Skeem JL, Petersen ML. |
2022 |
Journal Article |
Estimation of direct causal effects |
Petersen ML, Sinisi SE, van der Laan MJ |
2019 |
Journal Article |
Entering the era of data science: Targeted Learning and the Integration of Statistics and Computational Data Analysis |
M.J. van der Laan; R.J.C.M. Starmans |
2014 |
Journal Article |
Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis |
D. Rubin; M.J. van der Laan |
2008 |
Journal Article |
Effect of breastfeeding on gastrointestinal infection in infants: A targeted maximum likelihood approach for clustered longitudinal data |
M. E. Schnitzer; M. J. van der Laan; E. E. Moodie; R. W. Platt |
2014 |
Journal Article |
Dynamic Impact of Transfusion Ratios on Outcomes in Severely Injured Patients: Targeted Machine Learning Analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios Randomized Clinical Trial |
Nguyen, M.; Pirracchio, R.; Kornblith, L. Z.; Callcut, R.; Fox, E. E; Wade, C. E.; Schreiber, M.; Holcomb, J. B.; Coyle, J.; Cohen, M.; Hubbard, A. E. |
2020 |
Journal Article |
Doubly robust nonparametric inference on the average treatment effect |
D. Benkeser; P. Gilbert; M.J. van der Laan; M. Carone |
2017 |
Journal Article |
Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study |
Tran L, Yiannoutsos C, Wools-Kaloustian K, Siika A, van der Laan M, Petersen M. |
2019 |
Journal Article |
Direct effects and effect among the treated |
Hubbard AE; Jewell NP; van der Laan MJ |
2011 |
Journal Article |
Diagnosing and responding to violations in the positivity assumption |
Petersen ML, Porter KE, Gruber S, Wang Y, van der Laan MJ. |
2012 |
Journal Article |
Depressive symptoms in low-income women in rural Mexico |
Fleischer, Nancy L.; Fernald, Lia C.; Hubbard, Alan E. |
2007 |
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 |
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 |