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An approach for modelling multiple correlated outcomes in a network of interventions using odds ratios.

Abstract:

A multivariate meta-analysis of two or more correlated outcomes is expected to improve precision compared with a series of independent, univariate meta-analyses especially when there are studies reporting some but not all outcomes. Multivariate meta-analysis requires estimates of the within-study correlations, which are seldom available. Existing methods for analysing multiple outcomes simultaneously are limited to pairwise treatment comparisons. We propose a model for a joint, simultaneous s...

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Publication status:
Published

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Publisher copy:
10.1002/sim.6117

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Institution:
University of Oxford
Department:
Oxford, MSD, Psychiatry
Role:
Author
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Journal:
Statistics in medicine
Volume:
33
Issue:
13
Pages:
2275-2287
Publication date:
2014-06-05
DOI:
EISSN:
1097-0258
ISSN:
0277-6715
URN:
uuid:c1181011-1bf0-4696-babf-1795cdf97f1e
Source identifiers:
454699
Local pid:
pubs:454699

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