eBooks - Science & Technology - Mathematics - Hannah Rothstein - Alexander J. Sutton - Michael Borenstein - Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments
Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments eBook
Editor: Hannah Rothstein ~ Editor: Alexander J. Sutton ~ Editor: Michael Borenstein
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Windows 98SE+, Mac OS X+, Palm Features
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Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments Summary
| 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. |
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eBooks - Titles - Authors - Science & Technology - Mathematics - Hannah Rothstein - Alexander J. Sutton - Michael Borenstein - Publication Bias in Meta-Analysis: Prevention, Assessment and Adjustments eBook