The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions.

ABSTRACT: 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 effect heterogeneity. Recently, there has been a proliferation of methods for estimating the ODTR. One such method is an extension of the SuperLearner algorithm - an ensemble method to optimally combine candidate algorithms extensively used in prediction problems - to ODTRs. Following the ``causal roadmap," we causally and statistically define the ODTR and provide an introduction to estimating it using the ODTR SuperLearner. Additionally, we highlight practical choices when implementing the algorithm, including choice of candidate algorithms, metalearners to combine the candidates, and risk functions to select the b

SUBMITTER: Montoya LM 

PROVIDER: S-EPMC10238854 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature