Document Type
Conference Paper
Publication Date
2012
Abstract
A hierarchical Bayesian model is investigated. This model can accommodate study heterogeneity in meta-analyses. 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 demonstrate the validity of the Gibbs sampler in terms of parameter estimation.
COinS
Publication Details
Junaidi; Nur, Darfiana; and Stojanovski, Elizabeth, Bayesian Estimation of a Meta-analysis model using Gibbs sampler, Proceedings of the Fifth Annual ASEARC Conference - Looking to the future - Programme and Proceedings, 2 - 3 February 2012, University of Wollongong.