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Using meta-analysis results in Bayesian updating: the empty cell problem

Author: Price, Lydia ; Vanhonacker, Wilfried R.INSEAD Area: Marketing Series: Working Paper ; 91/30/MKT Publisher: Fontainebleau : INSEAD, 1991.Language: EnglishDescription: 17 p.Type of document: INSEAD Working Paper Online Access: Click here Abstract: Bayesian estimation incorporating prior information has been a popular approach to gaining estimation efficiency. Although prior information can take a variety of forms, generalisations derived from meta-analyses have been suggested as being useful. This paper shows that these priors can be problematic in the light of many empty cells observed in meta-analysis designs. Design reduction, which give rise to an unbiased prior, is found to be the preferred solution
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Bayesian estimation incorporating prior information has been a popular approach to gaining estimation efficiency. Although prior information can take a variety of forms, generalisations derived from meta-analyses have been suggested as being useful. This paper shows that these priors can be problematic in the light of many empty cells observed in meta-analysis designs. Design reduction, which give rise to an unbiased prior, is found to be the preferred solution

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