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A fully Bayesian application of the Copas selection model for publication bias extended to network meta-analysis.

Abstract:

The Copas parametric model is aimed at exploring the potential impact of publication bias via sensitivity analysis, by making assumptions regarding the probability of publication of individual studies related to the standard error of their effect sizes. Reviewers often have prior assumptions about the extent of selection in the set of studies included in a meta-analysis. However, a Bayesian implementation of the Copas model has not been studied yet. We aim to present a Bayesian selection mode...

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Publication status:
Published

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Publisher copy:
10.1002/sim.5494

Authors


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Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
Journal:
Statistics in medicine More from this journal
Volume:
32
Issue:
1
Pages:
51-66
Publication date:
2013-01-01
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
Language:
English
Keywords:
Pubs id:
pubs:426009
UUID:
uuid:6338ba17-0215-44ce-892e-b521a4e40d49
Local pid:
pubs:426009
Source identifiers:
426009
Deposit date:
2013-11-16

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