Bayesian Estimation of a Meta-analysis model using Gibbs sampler

A hierarchical Bayesian model is investigated. This model can accommodate study heterogeneity in metaanalyses. The joint posterior distribution is derived by multiplying the likelihood and priors on this model. The conditional posterior distribution of all parameters is obtained for Gibbs sampler algorithm. A simulation study is then performed to… CONTINUE READING