A Trial Emulation Approach for Policy Evaluations with Group-level Longitudinal Data.

ABSTRACT: To limit the spread of the novel coronavirus, governments across the world implemented extraordinary physical distancing policies, such as stay-at-home orders. Numerous studies aim to estimate the effects of these policies. Many statistical and econometric methods, such as difference-in-differences, leverage repeated measurements, and variation in timing to estimate policy effects, including in the COVID-19 context. Although these methods are less common in epidemiology, epidemiologic researchers are well accustomed to handling similar complexities in studies of individual-level interventions. Target trial emulation emphasizes the need to carefully design a nonexperimental study in terms of inclusion and exclusion criteria, covariates, exposure definition, and outcome measurement-and the t

SUBMITTER: Ben-Michael E 

PROVIDER: S-EPMC8162442 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature