Approximate Bayesian inference for random effects meta-analysis
Whilst meta‐analysis is becoming a more commonplace statistical technique, Bayesian inference in meta‐analysis requires complex computational techniques to be routinely applied. We consider simple approximations for the first and second moments of the parameters of a Bayesian random effects model fo...
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| Veröffentlicht in: | Statistics in medicine 1998-01, Vol.17 (2), p.201-218 |
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| container_title | Statistics in medicine |
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| creator | Abrams, Keith Sansó, Bruno |
| description | Whilst meta‐analysis is becoming a more commonplace statistical technique, Bayesian inference in meta‐analysis requires complex computational techniques to be routinely applied. We consider simple approximations for the first and second moments of the parameters of a Bayesian random effects model for meta‐analysis. These computationally inexpensive methods are based on simple analytical formulae that provide an efficient tool for a qualitative analysis and a quick numerical estimation of posterior quantities. They are shown to lead to sensible approximations in two examples of meta‐analyses and to be in broad agreement with the more computationally intensive Gibbs sampling. © 1998 John Wiley & Sons, Ltd. |
| doi_str_mv | 10.1002/(SICI)1097-0258(19980130)17:2<201::AID-SIM736>3.0.CO;2-9 |
| format | Article |
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| identifier | ISSN: 0277-6715 |
| ispartof | Statistics in medicine, 1998-01, Vol.17 (2), p.201-218 |
| issn | 0277-6715 1097-0258 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_79700446 |
| source | MEDLINE; Wiley Online Library Journals Frontfile Complete |
| subjects | Antibiotic Prophylaxis Bayes Theorem Biological and medical sciences Computerized, statistical medical data processing and models in biomedicine Dental Caries - prevention & control Dentifrices - therapeutic use Digestive System - microbiology Humans Logistic Models Medical computing and teaching Medical sciences Meta-Analysis as Topic Models, Statistical Odds Ratio |
| title | Approximate Bayesian inference for random effects meta-analysis |
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