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20212025
most citedThe Optimal Dynamic Treatment Rule SuperLearner: Considerations, Performance, and Application

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

collaborators

5 papers

stat.AP2025

Estimation and Evaluation of the Resource-Constrained Optimal Dynamic Treatment Rule: An Application to HIV Care Retention

Lina M. Montoya, Elvin H. Geng, Harriet F. Adhiambo +1

The optimal strategy for deploying a treatment in a population may recommend giving all in the population that treatment. Such a strategy may not be feasible, especially in resourc…

stat.ME2024

Effects Among the Affected

Lina M. Montoya, Elvin H. Geng, Michael Valancius +2

Many interventions are both beneficial to initiate and harmful to stop. Traditionally, to determine whether to deploy that intervention in a time-limited way depends on if, on aver…

stat.ME2022★ 1 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…

stat.AP2021★ 4 cited

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…