A Bayesian approach to discrete multiple outcome network meta-analysis.
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ABSTRACT:
SUBMITTER: Graziani R
PROVIDER: S-EPMC7188248 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
A Bayesian approach to discrete multiple outcome network meta-analysis.
Graziani Rebecca R Venturini Sergio S
PloS one 20200428 4
In this paper we suggest a new Bayesian approach to network meta-analysis for the case of discrete multiple outcomes. The joint distribution of the discrete outcomes is modeled through a Gaussian copula with binomial marginals. The remaining elements of the hierarchial random effects model are specified in a standard way, with the logit of the success probabilities given by the sum of a baseline log-odds and random effects comparing the log-odds of each treatment against the reference and having ...[more]
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