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The role of empirical Bayes methodology as a leading principle in modern medical statistics
Author(s) -
van Houwelingen Hans C.
Publication year - 2014
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.201400073
Subject(s) - bayes' theorem , medical statistics , statistics , empirical research , bayesian probability , econometrics , estimator , computer science , mathematics
This paper reviews and discusses the role of Empirical Bayes methodology in medical statistics in the last 50 years. It gives some background on the origin of the empirical Bayes approach and its link with the famous Stein estimator. The paper describes the application in four important areas in medical statistics: disease mapping, health care monitoring, meta‐analysis, and multiple testing. It ends with a warning that the application of the outcome of an empirical Bayes analysis to the individual “subjects” is a delicate matter that should be handled with prudence and care.