A comparison of combined <i>p</i>-value functions for meta-analysis.

ABSTRACT: P-value functions are modern statistical tools that unify effect estimation and hypothesis testing and can provide alternative point and interval estimates compared to standard meta-analysis methods, using any of the many p-value combination procedures available (Xie et al., 2011, JASA). We provide a systematic comparison of different combination procedures, both from a theoretical perspective and through simulation. We show that many prominent p-value combination methods (e.g. Fisher's method) are not invariant to the orientation of the underlying one-sided p-values. Only Edgington's method, a lesser-known combination method based on the sum of p-values, is orientation-invariant and still provides confidence intervals not restricted to be symmetric aroun

SUBMITTER: Held L 

PROVIDER: S-EPMC12527540 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature