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