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The Resource Publication bias in meta-analysis : prevention, assessment and adjustments, edited by Hannah R. Rothstein, Alexander J. Sutton, Michael Borenstein

Publication bias in meta-analysis : prevention, assessment and adjustments, edited by Hannah R. Rothstein, Alexander J. Sutton, Michael Borenstein

Label
Publication bias in meta-analysis : prevention, assessment and adjustments
Title
Publication bias in meta-analysis
Title remainder
prevention, assessment and adjustments
Statement of responsibility
edited by Hannah R. Rothstein, Alexander J. Sutton, Michael Borenstein
Contributor
Subject
Genre
Language
eng
Summary
"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." "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."--BOOK JACKET
Cataloging source
DLC
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Rothstein, Hannah.
  • Sutton, A. J.
  • Borenstein, Michael.
http://library.link/vocab/subjectName
  • Meta-analysis
  • Meta-analysis
  • Medicine
Label
Publication bias in meta-analysis : prevention, assessment and adjustments, edited by Hannah R. Rothstein, Alexander J. Sutton, Michael Borenstein
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • p. 1
  • Ch. 1.
  • Publication bias in meta-analysis/
  • Hannah R. Rothstein
  • Alexander J. Sutton
  • Michael Borenstein
  • Ch. 2.
  • Publication bias : recognizing the problem, understanding its origins and scope, and preventing harm/
  • Kay Dickersin
  • p. 11
  • Ch. 3.
  • Preventing publication bias : registries and prospective meta-analysis/
  • Jesse A. Berlin
  • Davina Ghersi
  • p. 35
  • p. 49
  • Ch. 4.
  • Grey literature and systematic reviews/
  • Sally Hopewell
  • Mike Clarke
  • Sue Mallett
  • p. 75
  • Ch. 5.
  • funnel plot/
  • Jonathan A. C. Sterne
  • Betsy Jane Becker
  • Matthias Egger
  • Ch. 6.
  • Regression methods to detect publication and other bias in meta-analysis/
  • Jonathan A. C. Sterne
  • Matthias Egger
  • p. 99
  • Ch. 7.
  • Failsafe N or file-drawer number/
  • Betsy Jane Becker
  • p. 111
  • Ch. 8.
  • trim and fill method/
  • Sue Duval
  • p. 127
  • Ch. 9.
  • Selection method approaches/
  • Larry V. Hedges
  • Jack Vevea
  • p. 145
  • Ch. 10.
  • Evidence concerning the consequences of publication and related biases/
  • Alexander J. Sutton
  • p. 175
  • Ch. 11.
  • Software for publication bias/
  • Michael Borenstein
  • p. 193
  • Ch. 12.
  • Bias in meta-analysis induced by incompletely reported studies/
  • Alexander J. Sutton
  • Therese D. Pigott
  • p. 223
  • Ch. 13.
  • Assessing the evolution of effect sizes over time/
  • Thomas A. Trikalinos
  • John P. A. Ioannidis
  • p. 241
  • p. 261
  • Ch. 14.
  • Do systematic reviews based on individual patient data offer a means of circumventing biases associated with trial publications?/
  • Lesley Stewart
  • Jayne Tierney
  • Sarah Burdett
  • Ch. 15.
  • Differentiating biases from genuine heterogeneity : distinguishing artifactual from substantive effects/
  • John P. A. Ioannidis
  • p. 287
  • Ch. 16.
  • Beyond conventional publication bias : other determinants of data suppression/
  • Scott D. Halpern
  • Jesse A. Berlin
  • p. 303
  • App.
  • Annotated bibliography/
  • Hannah R. Rothstein
  • Ashley Busing
Control code
ocm61211258
Dimensions
24 cm.
Extent
xvii, 356 p.
Isbn
9780470870143
Lccn
2005021394
Other physical details
ill.
Label
Publication bias in meta-analysis : prevention, assessment and adjustments, edited by Hannah R. Rothstein, Alexander J. Sutton, Michael Borenstein
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • p. 1
  • Ch. 1.
  • Publication bias in meta-analysis/
  • Hannah R. Rothstein
  • Alexander J. Sutton
  • Michael Borenstein
  • Ch. 2.
  • Publication bias : recognizing the problem, understanding its origins and scope, and preventing harm/
  • Kay Dickersin
  • p. 11
  • Ch. 3.
  • Preventing publication bias : registries and prospective meta-analysis/
  • Jesse A. Berlin
  • Davina Ghersi
  • p. 35
  • p. 49
  • Ch. 4.
  • Grey literature and systematic reviews/
  • Sally Hopewell
  • Mike Clarke
  • Sue Mallett
  • p. 75
  • Ch. 5.
  • funnel plot/
  • Jonathan A. C. Sterne
  • Betsy Jane Becker
  • Matthias Egger
  • Ch. 6.
  • Regression methods to detect publication and other bias in meta-analysis/
  • Jonathan A. C. Sterne
  • Matthias Egger
  • p. 99
  • Ch. 7.
  • Failsafe N or file-drawer number/
  • Betsy Jane Becker
  • p. 111
  • Ch. 8.
  • trim and fill method/
  • Sue Duval
  • p. 127
  • Ch. 9.
  • Selection method approaches/
  • Larry V. Hedges
  • Jack Vevea
  • p. 145
  • Ch. 10.
  • Evidence concerning the consequences of publication and related biases/
  • Alexander J. Sutton
  • p. 175
  • Ch. 11.
  • Software for publication bias/
  • Michael Borenstein
  • p. 193
  • Ch. 12.
  • Bias in meta-analysis induced by incompletely reported studies/
  • Alexander J. Sutton
  • Therese D. Pigott
  • p. 223
  • Ch. 13.
  • Assessing the evolution of effect sizes over time/
  • Thomas A. Trikalinos
  • John P. A. Ioannidis
  • p. 241
  • p. 261
  • Ch. 14.
  • Do systematic reviews based on individual patient data offer a means of circumventing biases associated with trial publications?/
  • Lesley Stewart
  • Jayne Tierney
  • Sarah Burdett
  • Ch. 15.
  • Differentiating biases from genuine heterogeneity : distinguishing artifactual from substantive effects/
  • John P. A. Ioannidis
  • p. 287
  • Ch. 16.
  • Beyond conventional publication bias : other determinants of data suppression/
  • Scott D. Halpern
  • Jesse A. Berlin
  • p. 303
  • App.
  • Annotated bibliography/
  • Hannah R. Rothstein
  • Ashley Busing
Control code
ocm61211258
Dimensions
24 cm.
Extent
xvii, 356 p.
Isbn
9780470870143
Lccn
2005021394
Other physical details
ill.

Library Locations

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      Ashton Street, Liverpool, L69 3DA, GB
      53.418074 -2.967913
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