A General Model for Estimating and Correcting the Effects of Nonindependence in Meta-Analysis

Abstract

This paper describes a general meta-analysis model that can be used to represent the four types of meta-analysis commonly conducted. The model explicitly allows for nonindependence among study outcomes; providing exact statistical solutions when the nonindependence can be estimated. Also discussed are the directional biases that result if nonindependence is ignored.