Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases.

ABSTRACT: Longitudinal healthcare claims databases are frequently used for studying the comparative safety and effectiveness of medications, but results from these studies may be biased due to residual confounding. It is unclear whether methods for confounding adjustment that have been shown to perform well in small, simple nonrandomized studies are applicable to the large, complex pharmacoepidemiologic studies created from secondary healthcare data. Ordinary simulation approaches for evaluating the performance of statistical methods do not capture important features of healthcare claims. A statistical framework for creating replicated simulation datasets from an empirical cohort study in electronic healthcare claims data is developed and validated. The approach relies on resampling from the observe

SUBMITTER: Franklin JM 

PROVIDER: S-EPMC3935334 | biostudies-literature | 2014 Apr

REPOSITORIES: biostudies-literature