Skip to main content

Approaches to Handling Partially Observed Confounder Data From Electronic Health Records (EHR) In Non-randomized Studies of Medication Outcomes

Basic Details
Date Posted
Status
Complete
Description

This project aims to systematically investigate approaches to detect underlying missingness mechanisms, compare imputation approaches and showcase sensitivity analyses to build confidence in pharmacoepidemiological analyses with partially observed confounder variables. Special emphasis will be given to informative missingness in the context of studying causal treatment effects in Electronic Health Records (EHR) and EHR-linked databases. The overall goal of this proposal is to develop standardized “toolkits” that can be readily implemented in EHRs to describe and, when assumptions permit, address missingness in confounding variables.