Reweighting to address nonparticipation and missing data bias in a longitudinal electronic health record study.

ABSTRACT:

Purpose

We examined whether weighting techniques could account for longitudinal differences in disease activity by race/ethnicity between research participants and nonparticipants with rheumatoid arthritis (RA).

Methods

We included 377 patients with RA from a public hospital in San Francisco, CA. We estimated the probability of not enrolling in a research study by constructing weights using inverse probability weighting. Disease activity over time by race/ethnicity was analyzed across the entire patient population and among research participants only using multivariable mixed-effects models.

Results

There were no differences in RA disease activity scores between research participants and nonparticipants at baseline; however, longitudinal differences in disease activit

SUBMITTER: Gianfrancesco MA 

PROVIDER: S-EPMC7541711 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature