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

Ulf Strömberg | Zendy

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

Author(s) -

Ulf Strömberg

Publication year - 2009

Publication title -

european journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.825

H-Index - 111

eISSN - 1573-7284

pISSN - 0393-2990

DOI - 10.1007/s10654-009-9393-0

Subject(s) - bayes' theorem , medicine , statistics , bayes' rule , econometrics , bayes factor , bayesian probability , mathematics

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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