Estimating individualized treatment rules in longitudinal studies with covariate-driven observation times.

ABSTRACT: The sequential treatment decisions made by physicians to treat chronic diseases are formalized in the statistical literature as dynamic treatment regimes. To date, methods for dynamic treatment regimes have been developed under the assumption that observation times, that is, treatment and outcome monitoring times, are determined by study investigators. That assumption is often not satisfied in electronic health records data in which the outcome, the observation times, and the treatment mechanism are associated with patients' characteristics. The treatment and observation processes can lead to spurious associations between the treatment of interest and the outcome to be optimized under the dynamic treatment regime if not adequately considered in the analysis. We address these associations b

SUBMITTER: Coulombe J 

PROVIDER: S-EPMC10248307 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature