Applying a Causal Road Map in Settings with Time-dependent Confounding

Por Petersen, Maya L.
Publicado no Epidemiology (2014)

Statistical Learning of Origin-Specific Statically Optimal Individualized Treatment Rules

Por van der Laan, Mark J., Petersen, Maya L.
Publicado em 2007

Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules

Por van der Laan, Mark J., Petersen, Maya L.
Publicado em 2007

Petersen et al. Respond to “Effect Modification by Time-varying Covariates”

Por Petersen, Maya L., van der Laan, Mark J.
Publicado em 2007

Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation

Por Petersen, Maya L., van der Laan, Mark J.
Publicado em 2014

Improving Propensity Score Estimators' Robustness to Model Misspecification Using Super Learner

Por Pirracchio, Romain, Petersen, Maya L., van der Laan, Mark
Publicado no Am J Epidemiol (2015)

Individualized treatment rules: Generating candidate clinical trials

Por Petersen, Maya L., Deeks, Steven G., van der Laan, Mark J.
Publicado em 2007

ADAPTIVE MATCHING IN RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES

Por van der Laan, Mark J., Balzer, Laura B., Petersen, Maya L.
Publicado em 2012

Adaptive pair-matching in randomized trials with unbiased and efficient effect estimation

Por Balzer, Laura B., Petersen, Maya L., van der Laan, Mark J.
Publicado no Stat Med (2014)

Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar

Por Weber, Ann M., van der Laan, Mark J., Petersen, Maya L.
Publicado no J Causal Inference (2014)

Targeted estimation and inference for the sample average treatment effect in trials with and without pair-matching

Por Balzer, Laura B., Petersen, Maya L., van der Laan, Mark J.
Publicado no Stat Med (2016)

Adaptive Pre-specification in Randomized Trials With and Without Pair-Matching

Por Balzer, Laura B., van der Laan, Mark J., Petersen, Maya L.
Publicado no Stat Med (2016)

Reaching 90–90–90 in rural communities in East Africa: lessons from the Sustainable East Africa Research in Community Health Trial

Por Chamie, Gabriel, Kamya, Moses R., Petersen, Maya L., Havlir, Diane V.
Publicado no Curr Opin HIV AIDS (2019)

A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure

Por Balzer, Laura B, Zheng, Wenjing, van der Laan, Mark J, Petersen, Maya L
Publicado no Stat Methods Med Res (2018)

Personalized public health: An implementation research agenda for the HIV response and beyond

Por Geng, Elvin H., Holmes, Charles B., Moshabela, Mosa, Sikazwe, Izukanji, Petersen, Maya L.
Publicado no PLoS Med (2019)

Cross-Validated Bagged Learning

Por Petersen, Maya L., Molinaro, Annette M., Sinisi, Sandra E., van der Laan, Mark J.
Publicado em 2008

History-adjusted Marginal Structural Models for Estimating Time-varying Effect Modification

Por Petersen, Maya L., Deeks, Steven G., Martin, Jeffrey N., van der Laan, Mark J.
Publicado em 2007

Diagnosing and responding to violations in the positivity assumption

Por Petersen, Maya L, Porter, Kristin E, Gruber, Susan, Wang, Yue, van der Laan, Mark J
Publicado em 2010

Pillbox Organizers Are Associated with Improved Adherence to HIV Antiretroviral Therapy and Viral Suppression: A Marginal Structural Model Analysis

Por Petersen, Maya L., Wang, Yue, van der Laan, Mark J., Guzman, David, Riley, Elise, Bangsberg, David R.
Publicado em 2007

Super Learning: An Application to the Prediction of HIV-1 Drug Resistance

Por Sinisi, Sandra E., Polley, Eric C., Petersen, Maya L., Rhee, Soo-Yon, van der Laan, Mark J.
Publicado em 2007