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Handbook of Meta-analysis in Ecology and Evolution$
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Julia Koricheva, Jessica Gurevitch, and Kerrie Mengersen

Print publication date: 2013

Print ISBN-13: 9780691137285

Published to Princeton Scholarship Online: October 2017

DOI: 10.23943/princeton/9780691137285.001.0001

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Publication and Related Biases

Publication and Related Biases

Chapter:
(p.207) 14 Publication and Related Biases
Source:
Handbook of Meta-analysis in Ecology and Evolution
Author(s):

Michael D. Jennions

Christopher J. Lortie

Michael S. Rosenberg

Hannah R. Rothstein

Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691137285.003.0014

This chapter discusses the increased occurrence of publication bias in the scientific literature. Publication bias is associated with the inaccurate representation of the merit of a hypothesis or idea. A strict definition is that it occurs when the published literature reports results that systematically differ from those of all studies and statistical tests conducted; the result is that false conclusions are drawn. The chapter presents five main approaches used to either detect potential narrow sense publication bias or assess how sensitive the results of a meta-analysis are to the possible exclusion. These include funnel plots, tests for relationships between effect size and sample size using nonparametric correlation or regression, trim and fill method, fail-safe numbers, and model selection.

Keywords:   meta-analysis, publication bias, scientific literature, scientific publications

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