Power analysis for random‐effects meta‐analysis

Volume: 8, Issue: 3, Pages: 290 - 302
Published: Apr 4, 2017
One of the reasons for the popularity of meta-analysis is the notion that these analyses will possess more power to detect effects than individual studies. This is inevitably the case under a fixed-effect model. However, the inclusion of the between-study variance in the random-effects model, and the need to estimate this parameter, can have unfortunate implications for this power. We develop methods for assessing the power of random-effects...
Paper Details
Power analysis for random‐effects meta‐analysis
Published Date
Apr 4, 2017
290 - 302
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