Literature DB >> 19813100

Empirical Bayes and semi-Bayes adjustments for a vast number of estimations.

Ulf Strömberg1.   

Abstract

Investigators in modern molecular/genetic epidemiology studies commonly analyze data on a vast number of candidate genetic markers. In such situations, rather than conventional estimation of effects (odds ratios), more accurate estimation methods are needed. The author proposes consideration of empirical Bayes and semi-Bayes methods, which yield 'adjustments for multiple estimations' by shrinking conventional effect estimates towards the overall average effect.

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Year:  2009        PMID： 19813100     DOI： 10.1007/s10654-009-9393-0

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN： 0393-2990            Impact factor:   8.082


  24 in total

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  10 in total

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