Selected Publications

Adaptive Strategies for Retention in Care among Persons Living with HIV

Optimizing retention in human immunodeficiency virus (HIV) treatment may require sequential behavioral interventions based on patients’ response.

Efficient and robust approaches for analysis of sequential multiple assignment randomized trials: Illustration using the ADAPT-R trial

In this paper, Lina Montoya and Maya Petersen present a robust and efficient approach using targeted maximum likelihood estimation (TMLE) for estimating and contrasting expected outcomes under the dynamic regimes embedded in a SMART, together with generating simultaneous confidence intervals for the resulting estimates.

Title Author Yearsort ascending Publication type
Targeted Learning Handbook: Causal Machine Learning and Inference in the tlverse R Software Ecosystem Jeremy Coyle; Nima Hejazi; Ivana Malenica; Rachael Phillips; Alan Hubbard; Mark van der Laan 2022 Book
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
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
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
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
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
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
Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics Benkeser D, Petersen M & van der Laan MJ 2019 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
Estimation of direct causal effects Petersen ML, Sinisi SE, van der Laan MJ 2019 Journal Article
Mining with Inference: Data Adaptive Target Parameters Hubbard, Alan E.; van der Laan, Mark J. 2019 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
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
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
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
Optimal Individualized Treatments in Resource-Limited Settings A. Luedtke; M. van der Laan 2018 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
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
Doubly robust nonparametric inference on the average treatment effect D. Benkeser; P. Gilbert; M.J. van der Laan; M. Carone 2017 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
Association of implementation of a universal testing and treatment intervention with HIV diagnosis, receipt of antiretroviral therapy, and HIV viral suppression among adults in East Africa Petersen M,; Balzer L,; Kwarsiima D,; Sang N5,; Chamie G2,; Ayieko J,; Kabami J,; Owaraganise A,; Liegler T,; Mwangwa F,; Kadede K,; Jain, V,; Plenty A,; Brown L,; Lavoy G,; Schwab J,; Black D,; van der Laan M,; Bukusi E,; Cohen C,; Clark T,; Charlebois E,; Kamya M,; Havlir D 2017 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
Big Data, Small Sample: Edgeworth Expansions Provide a Cautionary Tale Gerlovina, Inna; van der Laan, Mark J; Hubbard, Alan 2017 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
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
Statistical Inference for Data Adaptive Target Parameters Hubbard, A.; Kherad-Pajouh, S.; van der Laan, M. 2016 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
Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation in the Practice of Epidemiology Maya Petersen; Mark van der Laan 2015 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
Targeted learning of the mean outcome under an optimal dynamic treatment rule M. J. van der Laan; A. R. Luedtke 2014 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
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
Causal models and learning from data: integrating causal modeling and statistical estimation Petersen ML, van der Laan MJ 2014 Journal Article
Causal Inference for a Population of Causally Connected Units M. J. van der Laan 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 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
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
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
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
Diagnosing and responding to violations in the positivity assumption Petersen ML, Porter KE, Gruber S, Wang Y, van der Laan MJ. 2012 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
Direct effects and effect among the treated Hubbard AE; Jewell NP; van der Laan MJ 2011 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
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
The Cross-validated Adaptive Epsilon-Net Estimator Mark J. van der Laan; Sandrine Dudoit; Aad W. van der Vaart 2009 Journal Article
A roadmap for estimating and interpreting population intervention parameters Ahern J, Hubbard A. 2009 Journal Article
Causal effect models for realistic individualized treatment and intention to treat rules van der Laan MJ, Petersen ML. 2009 Journal Article
Resampling Based Multiple Testing with Applications to Genomics S. Dudoit; M.J. van der Laan 2009 Book
Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis D. Rubin; M.J. van der Laan 2008 Journal Article
Population intervention models in causal inference Hubbard, Alan E.; van der Laan, Mark J. 2008 Journal Article
Depressive symptoms in low-income women in rural Mexico Fleischer, Nancy L.; Fernald, Lia C.; Hubbard, Alan E. 2007 Journal Article
A Doubly Robust Censoring Unbiased Transformation Dan Rubin; Mark van der Laan 2007 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
Targeted Maximum Likelihood Learning Mark van der Laan; Dan Rubin 2006 Journal Article
Quantile-function based null distribution in resampling based multiple testing van der Laan, Mark J.; Hubbard, Alan E. 2006 Journal Article
Oracle Inequalities for Multi-Fold Cross-Validation Aad W. van der Vaart; S. Dudoit; M.J. van der Laan 2006 Journal Article
Unified methods for Censored Longitudinal Data and Causality M.J. van der Laan; J.M. Robins 2003 Book
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