|Title:||Bayesian approach to evidence synthesis||Authors:||Vazquez Polo, F.J.
Negrín, M. A.
|UNESCO Clasification:||530204 Estadística económica||Keywords:||Bayesian statistics
|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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