Journal article
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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Bibliographic Details
- Journal:
- Statistics in medicine
- Volume:
- 32
- Issue:
- 1
- Pages:
- 51-66
- Publication date:
- 2013-01-01
- DOI:
- EISSN:
-
1097-0258
- ISSN:
-
0277-6715
Item Description
- 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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- Copyright date:
- 2013
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