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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 1 of 1 Research Studies DisplayedSchmid CH, Trikalinos Olkin, I
Bayesian network meta-analysis for unordered categorical outcomes with incomplete data.
The researchers developed 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. Their model properly accounts for correlations of counts in mutually exclusive categories and enables proper comparison and ranking of treatment effects across multiple treatments and multiple outcomes categories.
AHRQ-funded; HS018574.
Citation: Schmid CH, Trikalinos Olkin, I .
Bayesian network meta-analysis for unordered categorical outcomes with incomplete data.
Res Synth Methods 2014 Jun;5(2):162-85. doi: 10.1002/jrsm.1103..
Keywords: Comparative Effectiveness, Outcomes, Data