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Correcting for ascertainment bias in the COGA data set
Author(s) -
Comuzzie Anthony G.,
Williams Jeff T.
Publication year - 1999
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370170719
Subject(s) - linkage (software) , sampling bias , data set , statistics , population , trait , set (abstract data type) , record linkage , mathematics , sample size determination , biology , computer science , genetics , medicine , environmental health , gene , programming language
The effects of several corrections for ascertainment bias on a linkage result in the COGA data are examined. A correction that models the complete ascertainment protocol markedly reduces the evidence for linkage. Different partial corrections increase the linkage signal and recover good estimates of the population trait prevalence, but do not represent adequately the complexity of the COGA ascertainment scheme. Evidently the present size of the COGA data set cannot support a complete correction for ascertainment bias, but an effective partial correction can and should be implemented.