Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older people

<p><strong>Background:</strong> despite the widespread application of Bayesian methods in meta-analysis, the incorporation of clinical informative priors based upon expert opinion is rare.</p><p><strong>Methods:</strong> a questionnaire to elicit beliefs abo...

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Main Authors: Silvia Deandrea, Eva Negri, Fabrizio Ruggeri
Format: Article
Language:English
Published: Milano University Press 2013-10-01
Series:Epidemiology, Biostatistics and Public Health
Online Access:http://ebph.it/article/view/8909
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author Silvia Deandrea
Eva Negri
Fabrizio Ruggeri
author_facet Silvia Deandrea
Eva Negri
Fabrizio Ruggeri
author_sort Silvia Deandrea
collection DOAJ
description <p><strong>Background:</strong> despite the widespread application of Bayesian methods in meta-analysis, the incorporation of clinical informative priors based upon expert opinion is rare.</p><p><strong>Methods:</strong> a questionnaire to elicit beliefs about five risk factors for falls in older people was administered to a sample of geriatricians and general practitioners (GPs). The experts were asked to provide a point estimate and upper and lower limits of each relative risk. The elicited opinions were translated into different prior distributions and included in a Bayesian meta-analysis of prospective studies. Frequentist, Bayesian non-informative and fully Bayesian approaches were compared.</p><p><strong>Results:</strong> almost all the clinicians provided the requested information. In most cases, the variability across published studies was greater or similar to that across clinicians. Geriatricians provided more consistent estimates than GPs. When fewer studies were available, the use of the informative prior provided by geriatricians reduced the width of the credibility interval with respect to the frequentist or Bayesian non-informative approaches. Enthusiastic and skeptical priors led to results strongly driven by the prior distribution.</p><p><strong>Conclusions:</strong> this study presents a feasible method for belief elicitation and Bayesian priors’ assessment. The inclusion of external information showed to be useful when only few and/or heterogeneous studies were available from the literature.</p>
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spelling doaj-art-ae0ed5ff56644074b88220a7e48c028d2025-08-20T02:56:37ZengMilano University PressEpidemiology, Biostatistics and Public Health2282-09302013-10-0111110.2427/89098662Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older peopleSilvia Deandrea0Eva Negri1Fabrizio Ruggeri2IRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Milan, Italy.IRCCS - Istituto di Ricerche Farmacologiche 'Mario Negri', Milan, Italy.Istituto di Matematica Applicata e Tecnologie Informatiche, Consiglio Nazionale delle Ricerche, Milan, Italy.<p><strong>Background:</strong> despite the widespread application of Bayesian methods in meta-analysis, the incorporation of clinical informative priors based upon expert opinion is rare.</p><p><strong>Methods:</strong> a questionnaire to elicit beliefs about five risk factors for falls in older people was administered to a sample of geriatricians and general practitioners (GPs). The experts were asked to provide a point estimate and upper and lower limits of each relative risk. The elicited opinions were translated into different prior distributions and included in a Bayesian meta-analysis of prospective studies. Frequentist, Bayesian non-informative and fully Bayesian approaches were compared.</p><p><strong>Results:</strong> almost all the clinicians provided the requested information. In most cases, the variability across published studies was greater or similar to that across clinicians. Geriatricians provided more consistent estimates than GPs. When fewer studies were available, the use of the informative prior provided by geriatricians reduced the width of the credibility interval with respect to the frequentist or Bayesian non-informative approaches. Enthusiastic and skeptical priors led to results strongly driven by the prior distribution.</p><p><strong>Conclusions:</strong> this study presents a feasible method for belief elicitation and Bayesian priors’ assessment. The inclusion of external information showed to be useful when only few and/or heterogeneous studies were available from the literature.</p>http://ebph.it/article/view/8909
spellingShingle Silvia Deandrea
Eva Negri
Fabrizio Ruggeri
Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older people
Epidemiology, Biostatistics and Public Health
title Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older people
title_full Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older people
title_fullStr Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older people
title_full_unstemmed Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older people
title_short Integrating clinicians’ opinion in the Bayesian meta-analysis of observational studies: the case of risk factors for falls in community-dwelling older people
title_sort integrating clinicians opinion in the bayesian meta analysis of observational studies the case of risk factors for falls in community dwelling older people
url http://ebph.it/article/view/8909
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