About this document
Common Mistakes in Meta-Analysis Models by Marti Fley is a document available to read on EtoBox.
This document discusses the differences between fixed-effect and random-effects models in meta-analysis and how to properly select between the two. It notes that the random-effects model should usually be the starting point and is appropriate when studies come from different populations, while the fixed-effect model assumes a single common effect. Researchers should not rely solely on tests of heterogeneity to select a model but rather choose based on how the studies were sampled. Using the wrong model can
- Author
- Marti Fley
- Language
- EN