Evaluating statistical significance in a meta-analysis by using numerical integration.

ABSTRACT: Meta-analysis is a method for enhancing statistical power through the integration of information from multiple studies. Various methods for integrating p-values (i.e., statistical significance), including Fisher's method under an independence assumption, the permutation method, and the decorrelation method, have been broadly used in bioinformatics and computational biotechnology studies. However, these methods have limitations related to statistical assumption, computing efficiency, and accuracy of statistical significance estimation. In this study, we proposed a numerical integration method and examined its theoretical properties. Simulation studies were conducted to evaluate its Type I error, statistical power, computational efficiency, and estimation accuracy, and the results were compa

SUBMITTER: Lin YC 

PROVIDER: S-EPMC9283883 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature