Prediction intervals for random-effects meta-analysis: a confidence distribution approach

3 Apr 2018Kengo NagashimaHisashi NomaToshi A. Furukawa

For the inference of random-effects models in meta-analysis, the prediction interval was proposed as a summary measure of the treatment effects that explains the heterogeneity in the target population. While the Higgins-Thompson-Spiegelhalter (HTS) plug-in-type prediction interval has been widely used, in which the heterogeneity parameter is replaced with its point estimate, its validity depends on a large sample approximation... (read more)

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