Estimating Vaccine Effectiveness by Linking Population-Based Health Registries: Some Sources of Bias.

ABSTRACT: The coronavirus disease 2019 (COVID-19) pandemic has underscored the importance of observational studies of real-world vaccine effectiveness (VE) to help answer urgent public health questions. One approach to rapidly answering questions about real-world VE relies on linking data from a population-based registry of vaccinations with a population-based registry of health outcomes. Here we consider some potential sources of bias in linked registry studies, including incomplete reporting to the registries, errors in linking individuals between registries, and errors in the assumed population size of the catchment area of the registries. We show that the direction of the bias resulting from one source of error by itself is predictable. However, if multiple sources of error are present, the dire

SUBMITTER: Brookmeyer R 

PROVIDER: S-EPMC9384684 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature