Use of Linked Databases for Improved Confounding Control: Considerations for Potential Selection Bias.

ABSTRACT: Pharmacoepidemiologic studies are increasingly conducted within linked databases, often to obtain richer confounder data. However, the potential for selection bias is frequently overlooked when linked data is available only for a subset of patients. We highlight the importance of accounting for potential selection bias by evaluating the association between antipsychotics and type 2 diabetes in youths within a claims database linked to a smaller laboratory database. We used inverse probability of treatment weights (IPTW) to control for confounding. In analyses restricted to the linked cohorts, we applied inverse probability of selection weights (IPSW) to create a population representative of the full cohort. We used pooled logistic regression weighted by IPTW only or IPTW and IPSW to estima

SUBMITTER: Sun JW 

PROVIDER: S-EPMC9430441 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature