- Title
- Bayesian estimation of a meta-analysis model using Gibbs sampler
- Creator
- Junaidi,; Nur, D.; Stojanovski, E.
- Relation
- 5th Annual ASEARC Conference: Looking to the Future. Proceedings of the 5th Annual ASEARC Conference: Looking to the Future (Wollongong, N.S.W. 2-3 February, 2012) p. 44-47
- Relation
- http://ro.uow.edu.au/asearc/1/
- Publisher
- University of Wollongong
- Resource Type
- conference paper
- Date
- 2012
- Description
- 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.
- Subject
- meta-analysis; Bayes estimates; hierarchical model; Gibbs sampler
- Identifier
- http://hdl.handle.net/1959.13/1309206
- Identifier
- uon:21803
- Language
- eng
- Reviewed
- Hits: 1406
- Visitors: 1617
- Downloads: 0
Thumbnail | File | Description | Size | Format |
---|