Identifying and estimating effects of sustained interventions under parallel trends assumptions.

ABSTRACT: Many research questions in public health and medicine concern sustained interventions in populations defined by substantive priorities. Existing methods to answer such questions typically require a measured covariate set sufficient to control confounding, which can be questionable in observational studies. Differences-in-differences rely instead on the parallel trends assumption, allowing for some types of time-invariant unmeasured confounding. However, most existing difference-in-differences implementations are limited to point treatments in restricted subpopulations. We derive identification results for population effects of sustained treatments under parallel trends assumptions. In particular, in settings where all individuals begin follow-up with exposure status consistent with the tre

SUBMITTER: Renson A 

PROVIDER: S-EPMC10539489 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature