Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7518998 | Journal of Clinical Epidemiology | 2018 | 22 Pages |
Abstract
We argue that heterogeneity in a meta-analysis of baseline variables should not exist, and therefore removing trials which contribute to heterogeneity from a meta-analysis will produce a more valid result. In our example none of the overall outcomes changed when studies contributing to heterogeneity were removed. We recommend routine use of this technique, using age and a second baseline variable predictive of outcome for the particular study chosen, to help eliminate potential bias in meta-analyses.
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Authors
Amy Hicks, Caroline Fairhurst, David J. Torgerson,