Quantitative bias analysis for outcome phenotype error correction in comparative effect estimation: an empirical and synthetic evaluation

• Analytics use case(s): Population-Level Estimation
• Study type: Methods Research
• Tags: QBA
• Study lead: James Weaver
• Study lead forums tag: jweave17
• Study start date: 1 January 2022
• Study end date: -
• Protocol: Protocol
• Publications: TODO
• Results explorer: Explorer

This study empirically evaluates QBA for outcome phenotype error correction in several pharmacoepidemiologic comparative effect estimation scenarios. It also simulates an analytic space defined by outcome incidence proportions, observed effect estimates, and phenotype measurement errors to determine which QBA input combinations produce valid results.