Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments

Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments

Editor(s): Hannah R. Rothstein, Alexander J. Sutton, Michael Borenstein

Published Online: 5 MAY 2006

Print ISBN: 9780470870143

Online ISBN: 9780470870167

DOI: 10.1002/0470870168

About this Book

Publication bias is the tendency to decide to publish a study based on the results of the study, rather than on the basis of its theoretical or methodological quality. It can arise from selective publication of favorable results, or of statistically significant results. This threatens the validity of conclusions drawn from reviews of published scientific research.

Meta-analysis is now used in numerous scientific disciplines, summarizing quantitative evidence from multiple studies. If the literature being synthesised has been affected by publication bias, this in turn biases the meta-analytic results, potentially producing overstated conclusions. Publication Bias in Meta-Analysis examines the different types of publication bias, and presents the methods for estimating and reducing publication bias, or eliminating it altogether.

Written by leading experts, adopting a practical and multidisciplinary approach.

Provides comprehensive coverage of the topic including:

  • Different types of publication bias,
  • Mechanisms that may induce them,
  • Empirical evidence for their existence,
  • Statistical methods to address them,
  • Ways in which they can be avoided.
  • Features worked examples and common data sets throughout.
  • Explains and compares all available software used for analysing and reducing publication bias.
  • Accompanied by a website featuring software, data sets and further material.

Publication Bias in Meta-Analysis adopts an inter-disciplinary approach and will make an excellent reference volume for any researchers and graduate students who conduct systematic reviews or meta-analyses. University and medical libraries, as well as pharmaceutical companies and government regulatory agencies, will also find this invaluable.

Table of contents

    1. You have free access to this content
    1. Chapter 1

      Publication Bias in Meta-Analysis (pages 1–7)

      Dr. Hannah R. Rothstein, Dr. Alexander J. Sutton and Dr. Michael Borenstein

  1. Part A: Publication Bias in Context

    1. Chapter 4

      Grey Literature and Systematic Reviews (pages 49–72)

      Dr. Sally Hopewell, Professor Mike Clarke and Sue Mallett

  2. Part B: Statistical Methods for Assessing Publication Bias

    1. Chapter 5

      The Funnel Plot (pages 73–98)

      Jonathan A.C. Sterne, Dr. Betsy Jane Becker and Dr. Matthias Egger

  3. Part C: Advanced and Emerging Approaches

    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content
    1. You have free access to this content

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