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

Author: Vanhonacker, Wilfried R. ; Price, LydiaINSEAD Area: MarketingIn: Journal of Business and Economic Statistics, vol. 10, October 1992 Language: EnglishDescription: p. 427-435.Type of document: INSEAD ArticleNote: Please ask the Library for this articleAbstract: Bayesian estimation incorporating prior information has been a popular approach to gaining estimation efficiency. Although prior information can take a variety of forms, generalizations derived from meta-analyses have been suggested as being useful. This article shows that these priors can be problematic in light of the many empty cells observed in meta-analysis designs. Design reduction, which gives 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, generalizations derived from meta-analyses have been suggested as being useful. This article shows that these priors can be problematic in light of the many empty cells observed in meta-analysis designs. Design reduction, which gives rise to an unbiased prior, is found to be the preferred solution

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