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- Title
Meta-Analysis With a Continuous Covariate That Is Differentially Categorized Across Studies.
- Authors
Perin, Jamie; Fischer Walker, Christa L.; Black, Robert E.; Aryee, Martin J.
- Abstract
Initially submitted November 24, 2014; accepted for publication May 20, 2015. We propose taking advantage of methodology for missing data to estimate relationships and adjust outcomes in a meta-analysis where a continuous covariate is differentially categorized across studies. The proposed method incorporates all available data in an implementation of the expectation-maximization algorithm. We use simulations to demonstrate that the proposed method eliminates bias that would arise by ignoring a covariate and generalizes the meta-analytical approach for incorporating covariates that are not uniformly categorized. The proposed method is illustrated in an application for estimating diarrhea incidence in children aged ≤59 months.
- Subjects
AGE distribution; ALGORITHMS; COMPUTER simulation; DATABASE management; DIARRHEA; EPIDEMIOLOGICAL research; META-analysis; REGRESSION analysis; STATISTICAL models
- Publication
American Journal of Epidemiology, 2016, Vol 183, Issue 5, p507
- ISSN
0002-9262
- Publication type
Article
- DOI
10.1093/aje/kwv140