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Direct linkSchmid, Christopher H.; Trikalinos, Thomas A.; Olkin, Ingram – Research Synthesis Methods, 2014
We develop a Bayesian multinomial network meta-analysis model for unordered (nominal) categorical outcomes that allows for partially observed data in which exact event counts may not be known for each category. This model properly accounts for correlations of counts in mutually exclusive categories and enables proper comparison and ranking of…
Descriptors: Bayesian Statistics, Correlation, Comparative Analysis, Meta Analysis
