Statistical Science

An Approach for Assessing Publication Bias Prior to Performing a Meta-Analysis

Keith B. G. Dear and Colin B. Begg

Full-text: Open access

Abstract

A semi-parametric method is developed for assessing publication bias prior to performing a meta-analysis. Summary estimates for the individual studies in the meta-analysis are assumed to have known distributional form. Selective publication is modeled using a nonparametric weight function, defined on the two-sided p-value scale. The shape of the estimated weight function provides visual evidence of the presence of bias, if it exists, and observed trends may be tested using rank order statistics or likelihood ratio tests. The method is intended as an exploratory technique prior to embarking on a standard meta-analysis.

Article information

Source
Statist. Sci. Volume 7, Number 2 (1992), 237-245.

Dates
First available in Project Euclid: 19 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.ss/1177011363

Digital Object Identifier
doi:10.1214/ss/1177011363

JSTOR
links.jstor.org

Keywords
Meta-analysis publication bias weighted functions

Citation

Dear, Keith B. G.; Begg, Colin B. An Approach for Assessing Publication Bias Prior to Performing a Meta-Analysis. Statist. Sci. 7 (1992), no. 2, 237--245. doi:10.1214/ss/1177011363. https://projecteuclid.org/euclid.ss/1177011363.


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