NDLI: Fully Bayesian hierarchical modelling in two stages, with application to meta‐analysis

Content Provider	Scilit
Author	Lunn, David Barrett, Jessica Sweeting, Michael Thompson, Simon
Copyright Year	2013
Description	Journal: Journal of the Royal Statistical Society: Series C (Applied Statistics)
Related Links	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814003/pdf
Ending Page	572
Page Count	22
Starting Page	551
ISSN	00359254
e-ISSN	14679876
DOI	10.1111/rssc.12007
Journal	Journal of the Royal Statistical Society: Series C (Applied Statistics)
Issue Number	4
Volume Number	62
Language	English
Publisher	Wiley-Blackwell
Publisher Date	2013-04-05
Access Restriction	Open
Subject Keyword	Journal: Journal of the Royal Statistical Society: Series C (Applied Statistics) Statistics and Probability Abdominal Aortic Aneurysm Bayesian Hierarchical Modelling Markov Chain Monte Carlo Methods Random‐effects Meta‐analysis
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability Statistics, Probability and Uncertainty

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Fully Bayesian hierarchical modelling in two stages, with application to meta‐analysis