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Cited by 191

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

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

Open access
Dear, Keith B. G., Begg, Colin B.·1992·Statistical Science
DOI 10.1214/ss/1177011363
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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.

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Metadata

Authors
Dear, K. B. G., & Begg, C. B.
Venue
Statistical Science
Publisher
Institute of Mathematical Statistics
Published
1992-05-01
Volume
7
Issue
2
ISSN
0883-4237 (ISSN-L)
DOI
10.1214/ss/1177011363
OpenAlex
W1993841510
Cited by
191
References
4
FWCI
9.94
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: An Approach for Assessing Publication Bias Prior to Performing a Meta-Analysis. https://app.cochat.ai/papers/10.1214/ss/1177011363
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Dear, K. B. G., & Begg, C. B. (1992). An Approach for Assessing Publication Bias Prior to Performing a Meta-Analysis. Statistical Science. https://doi.org/10.1214/ss/1177011363

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.