A comparison of estimators from self-controlled case series, case-crossover design, and sequence symmetry analysis for pharmacoepidemiological studies.

ABSTRACT:

Background

Despite the frequent use of self-controlled methods in pharmacoepidemiological studies, the factors that may bias the estimates from these methods have not been adequately compared in real-world settings. Here, we comparatively examined the impact of a time-varying confounder and its interactions with time-invariant confounders, time trends in exposures and events, restrictions, and misspecification of risk period durations on the estimators from three self-controlled methods. This study analyzed self-controlled case series (SCCS), case-crossover (CCO) design, and sequence symmetry analysis (SSA) using simulated and actual electronic medical records datasets.

Methods

We evaluated the performance of the three self-controlled methods in simulated cohorts for the fol

SUBMITTER: Takeuchi Y 

PROVIDER: S-EPMC5759844 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature