Document Type : Research Manuscript
Author
Department of Mathematics and Statistics, Mashhad Branch, Islamic Azad University
Abstract
In the meta-analysis of clinical trials, usually the data of each trail summarized by one or more outcome measure estimates which reported along with their standard errors. In the case that summary data are multi-dimensional, usually, the data analysis will be performed in the form of a number of separated univariate analysis. In such a case the correlation between summary statistics would be ignored. In contrast, a multivariate meta-analysis model, use from these correlations synthesizes the outcomes, jointly to estimate the multiple pooled effects simultaneously. In this paper, we present a nonparametric Bayesian bivariate random effect meta-analysis.
Keywords
- Bayesian Nonparametric
- Gibbs algorithm
- Meta-analysis
- Bivariate Distribution
- Bayesian Model Selection
Main Subjects
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