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20182023
most citedEfficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups

5 citations · 10 across the 5 of their papers we have counts for

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stat.ME2023

An Approach to Nonparametric Inference on the Causal Dose Response Function

Aaron Hudson, Elvin H. Geng, Thomas A. Odeny +3

The causal dose response curve is commonly selected as the statistical parameter of interest in studies where the goal is to understand the effect of a continuous exposure on an ou…

stat.ME2022

Adaptive Sequential Surveillance with Network and Temporal Dependence

Ivana Malenica, Jeremy R. Coyle, Mark J. van der Laan +1

Strategic test allocation plays a major role in the control of both emerging and existing pandemics (e.g., COVID-19, HIV). Widespread testing supports effective epidemic control by…

stat.ME20225 cited

Efficient Targeted Learning of Heterogeneous Treatment Effects for Multiple Subgroups

Waverly Wei, Maya Petersen, Mark J van der Laan +3

In biomedical science, analyzing treatment effect heterogeneity plays an essential role in assisting personalized medicine. The main goals of analyzing treatment effect heterogenei…

stat.ME20221 cited

Efficient and Robust Approaches for Analysis of SMARTs: Illustration using the ADAPT-R Trial

Lina M. Montoya, Michael R. Kosorok, Elvin H. Geng +3

Personalized intervention strategies, in particular those that modify treatment based on a participant's own response, are a core component of precision medicine approaches. Sequen…

stat.ME2021

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…