Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/55318
Title: Bayesian approach to evidence synthesis
Authors: Vazquez Polo, F.J. 
Negrín, M. A. 
Martel-Escobar, M. 
UNESCO Clasification: 530204 Estadística económica
Keywords: Bayesian statistics
Intrinsic priors
Link distribution
Meta-analysis
Umbrella review
Issue Date: 2016
Publisher: Springer 
Abstract: We briefly present the advantages and opportunities available to umbrella reviews from the use of Bayesian techniques while taking into account that the concerns commonly arising in Bayesian meta-analysis procedures are also present in umbrella reviews. This is the case, for example, of sparse data, for which the hierarchical logit-normal model can give very poor results. An additional concern in this context is that of the choice of noninformative priors, which can lead to a significant variation in the final conclusions drawn. Accordingly, this chapter highlights the potential for Bayesian approaches in umbrella reviews, overviews of reviews, and meta-epidemiologic studies while acknowledging their limitations and complexities
URI: http://hdl.handle.net/10553/55318
ISBN: 978-3-319-25653-5
DOI: 10.1007/978-3-319-25655-9_11
Source: Umbrella Reviews: Evidence Synthesis with Overviews of Reviews and Meta-Epidemiologic Studies / G. Biondi-Zoccai, Eds. Vol. 2. Chapter 11, p. 155 - 160
Appears in Collections:Capítulo de libro
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