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 |
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 |
A Doubly Robust Censoring Unbiased Transformation |
Dan Rubin; Mark van der Laan |
2007 |
Journal Article |
Direct effects and effect among the treated |
Hubbard AE; Jewell NP; van der Laan MJ |
2011 |
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 |
A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure |
†Balzer L,; Zheng W,; van der Laan M,; Petersen M |
2018 |
Journal Article |
Estimation of direct causal effects |
Petersen ML, Sinisi SE, van der Laan MJ |
2019 |
Journal Article |
Targeted Maximum Likelihood Learning |
Mark van der Laan; Dan Rubin |
2006 |
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 |
Causal Inference for a Population of Causally Connected Units |
M. J. van der Laan |
2014 |
Journal Article |
Causal inference when counterfactuals depend on the proportion of all subjects exposed |
§Miles CH,; Petersen M,; van der Laan MJ |
2019 |
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 |
Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules |
M.J. van der Laan; Maya L. Petersen |
2007 |
Journal Article |
Population intervention models in causal inference |
Hubbard, Alan E.; van der Laan, Mark J. |
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 |
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 |
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 |
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 |
Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis |
D. Rubin; M.J. van der Laan |
2008 |
Journal Article |
Depressive symptoms in low-income women in rural Mexico |
Fleischer, Nancy L.; Fernald, Lia C.; Hubbard, Alan E. |
2007 |
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 |
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 |
Optimal Individualized Treatments in Resource-Limited Settings |
A. Luedtke; M. van der Laan |
2018 |
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 |
A roadmap for estimating and interpreting population intervention parameters |
Ahern J, Hubbard A. |
2009 |
Journal Article |
A Causal Roadmap for Generating High-Quality Real-World Evidence |
Lauren E Dang , Susan Gruber , Hana Lee , Issa J Dahabreh , Elizabeth A Stuart , Brian D Williamson , Richard Wyss , Iván Dí |
2023 |
Journal Article |
A General Implementation of TMLE for Longitudinal Data Applied to Causal Inference in Survival Analysis |
Ori M. Stitelman; Victor De Gruttola; Mark J. van der Laan |
2012 |
Journal Article |
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 |
Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes |
W. Zheng; M. van der Laan |
2017 |
Journal Article |
Causal models and learning from data: integrating causal modeling and statistical estimation |
Petersen ML, van der Laan MJ |
2014 |
Journal Article |
Big Data, Small Sample: Edgeworth Expansions Provide a Cautionary Tale |
Gerlovina, Inna; van der Laan, Mark J; Hubbard, Alan |
2017 |
Journal Article |
An Application of the Causal Roadmap in Two Safety Monitoring Case Studies: Causal Inference and Outcome Prediction using Electronic Health Record Data |
Brian D Williamson,Richard Wyss, Elizabeth A Stuart, Lauren E Dang, Andrew N Mertens, Romain S Neugebauer, Andrew Wilson, Susan Gruber |
2023 |
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 |
Adaptive pre-specification in randomized trials with and without pair-matching |
Balzer, LB; van der Laan, MJ; Petersen, ML; SEARCH Collaboration |
2016 |
Journal Article |
Adaptive pre-specification in randomized trials with and without pair-matching: SEARCH Collaboration |
L.B. Balzer; M.L. Petersen; M.J. van der Laan |
2016 |
Journal Article |