- Title
- Bayes estimation in meta-analysis using a linear model theorem
- Creator
- Junaidi,; Stojanovski, E.; Nur, D.
- 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. 48-51
- Relation
- http://ro.uow.edu.au/asearc/1/
- Publisher
- University of Wollongong
- Resource Type
- conference paper
- Date
- 2012
- Description
- A Hierarchical Bayesian meta-analysis model developed by Dumouchel is derived by implementing the General Bayesian Linear model (GBLM) theorem. The aim is to obtain the joint posterior distribution of all parameters in the model. Simulation study is conducted to confirm the estimation of all parameters of interest. Results show parameter estimates as close to the true values indicating parameter stability.
- Subject
- meta-analysis; Bayes estimation; hierarchical model; general Bayesian linear model theorem
- Identifier
- http://hdl.handle.net/1959.13/1309205
- Identifier
- uon:21804
- Language
- eng
- Reviewed
- Hits: 1475
- Visitors: 1426
- Downloads: 0
| Thumbnail | File | Description | Size | Format |
|---|