Bayesian Nonparametric Bivariate Meta Analysis

	Bayesian Nonparametric Bivariate Meta Analysis
Journal of Data Science and Modeling
مقاله 9، دوره 1، شماره 1، اسفند 2022، صفحه 129-141 اصل مقاله (348.53 K)
نوع مقاله: Research Manuscript
شناسه دیجیتال (DOI): 10.22054/jcsm.2018.36484.1013
نویسنده
Ehsan Ormoz^*
Department of Mathematics and Statistics, Mashhad Branch, Islamic Azad University
چکیده
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.
کلیدواژه‌ها
Bayesian Nonparametric؛ Gibbs algorithm؛ Meta-analysis؛ Bivariate Distribution؛ Bayesian Model Selection

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