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

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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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en

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application/pdf

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http://flora.insead.edu/fichiersti_wp/Inseadwp1991/91-30.pdf

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Copyright INSEAD. All rights reserved