181 citations · 310 across the 17 of their papers we have counts for
11 papers · 1 filter
Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
Laura B. Balzer, Mark J. van der Laan, Maya L. Petersen
Covariate adjustment is an approach to improve the precision of trial analyses by adjusting for baseline variables that are prognostic of the primary endpoint. Motivated by the SEA…
A cautionary note for plasmode simulation studies in the setting of causal inference
Pamela A Shaw, Susan Gruber, Brian D. Williamson +5
Plasmode simulation has become an important tool for evaluating the operating characteristics of different statistical methods in complex settings, such as pharmacoepidemiological…
Evaluating the Robustness of Targeted Maximum Likelihood Estimators via Realistic Simulations in Nutrition Intervention Trials
Haodong Li, Sonali Rosete, Jeremy Coyle +9
Several recently developed methods have the potential to harness machine learning in the pursuit of target quantities inspired by causal inference, including inverse weighting, dou…
Efficient nonparametric inference on the effects of stochastic interventions under two-phase sampling, with applications to vaccine efficacy trials
Nima S. Hejazi, Mark J. van der Laan, Holly E. Janes +2
The advent and subsequent widespread availability of preventive vaccines has altered the course of public health over the past century. Despite this success, effective vaccines to…
A Fundamental Measure of Treatment Effect Heterogeneity
Jonathan Levy, Mark van der Laan, Alan Hubbard +1
We offer a non-parametric plug-in estimator for an important measure of treatment effect variability and provide minimum conditions under which the estimator is asymptotically effi…
Complier stochastic direct effects: identification and robust estimation
Kara E Rudolph, Oleg Sofrygin, Mark J van der Laan
Mediation analysis is critical to understanding the mechanisms underlying exposure-outcome relationships. In this paper, we identify the instrumental variable (IV)-direct effect of…