Titre :
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Empirical Bayes and semi-Bayes adjustments for a vast number of estimations. (2009)
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Auteurs :
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STROMBERG (Ulf) : SWE. Department of Occupational and Environmental Medicine. Lund University. Lund.
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Type de document :
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Article
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Dans :
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European journal of epidemiology (vol. 24, n° 12, 2009)
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Pagination :
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737-741
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Langues:
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Anglais
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Mots-clés :
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Estimation
;
Génome
;
Association
;
Statistique
;
Homme
;
Epidémiologie
;
Risque relatif
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Résumé :
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[BDSP. Notice produite par INIST-CNRS CBR0xC7l. Diffusion soumise à autorisation]. Investigators in modem 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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