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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

(p.207) 14 Publication and Related Biases
Handbook of Meta-analysis in Ecology and Evolution

Michael D. Jennions

Christopher J. Lortie

Michael S. Rosenberg

Hannah R. Rothstein

Princeton University Press

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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