44 citations · 125 across the 18 of their papers we have counts for
5 papers · 1 filter
Defining and Estimating Effects in Cluster Randomized Trials: A Methods Comparison
Alejandra Benitez, Maya L. Petersen, Mark J. van der Laan +7
Across research disciplines, cluster randomized trials (CRTs) are commonly implemented to evaluate interventions delivered to groups of participants, such as communities and clinic…
Two-Stage TMLE to Reduce Bias and Improve Efficiency in Cluster Randomized Trials
Laura B. Balzer, Mark van der Laan, James Ayieko +5
Cluster randomized trials (CRTs) randomly assign an intervention to groups of individuals (e.g., clinics or communities) and measure outcomes on individuals in those groups. While…
Sequential causal inference in a single world of connected units
Aurelien Bibaut, Maya Petersen, Nikos Vlassis +2
We consider adaptive designs for a trial involving N individuals that we follow along T time steps. We allow for the variables of one individual to depend on its past and on the pa…
Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule
Lina Montoya, Jennifer Skeem, Mark van der Laan +1
Given an (optimal) dynamic treatment rule, it may be of interest to evaluate that rule -- that is, to ask the causal question: what is the expected outcome had every subject receiv…
The Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application
Lina Montoya, Mark van der Laan, Alexander Luedtke +3
The optimal dynamic treatment rule (ODTR) framework offers an approach for understanding which kinds of patients respond best to specific treatments -- in other words, treatment ef…