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Estimating correlations from epidemiological data in the presence of measurement error
Author(s) -
Dear Keith B. G.,
Puterman Martin L.,
Dobson Annette J.
Publication year - 1997
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19971015)16:19<2177::aid-sim646>3.0.co;2-n
Subject(s) - statistics , estimator , pairwise comparison , econometrics , population , mathematics , observational error , correlation , maximum likelihood , moment (physics) , demography , physics , geometry , classical mechanics , sociology
Analysis of a major multi‐site epidemiologic study of heart disease has required estimation of the pairwise correlation of several measurements across sub‐populations. Because the measurements from each sub‐population were subject to sampling variability, the Pearson product moment estimator of these correlations produces biased estimates. This paper proposes a model that takes into account within and between sub‐population variation, provides algorithms for obtaining maximum likelihood estimates of these correlations and discusses several approaches for obtaining interval estimates. © 1997 John Wiley & Sons, Ltd.