Journal article
A Bayesian approach to sequential meta-analysis
- Abstract:
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As evidence accumulates within a meta-analysis, it is desirable to determine when the results could be considered conclusive to guide systematic review updates and future trial designs. Adapting sequential testing methodology from clinical trials for application to pooled meta-analytic effect size estimates appears well suited for this objective. In this paper we describe a Bayesian sequential meta-analysis method, in which an informative heterogeneity prior is employed and stopping rule crit...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 463.6KB, Terms of use)
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- Publisher copy:
- 10.1002/sim.7052
Authors
Funding
+ National Institute of Health Research
More from this funder
Grant:
Research Methods Fellowship (NIHR-RMFI-
2015-05-015
Bibliographic Details
- Publisher:
- John Wiley and Sons, Ltd
- Journal:
- Statistics in Medicine More from this journal
- Volume:
- 35
- Issue:
- 29
- Pages:
- 5356–5375
- Publication date:
- 2016-01-01
- Acceptance date:
- 2016-07-01
- DOI:
- ISSN:
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1097-0258
Item Description
- Keywords:
- Pubs id:
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pubs:631423
- UUID:
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uuid:ef0143ad-7f53-483c-a99f-2ffcbc054b76
- Local pid:
-
pubs:631423
- Source identifiers:
-
631423
- Deposit date:
-
2016-07-01
Terms of use
- Copyright holder:
- John Wiley and Sons, Ltd
- Copyright date:
- 2016
- Notes:
- Copyright © 2016 John Wiley & Sons, Ltd. This is the accepted manuscript version of the article. The final version is available online from Wiley at: https://doi.org/10.1002/sim.7052
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