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The incomplete, multiple ascertainment model: Assumptions, applications, and alternative models
Author(s) -
Stene Jon
Publication year - 1989
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.1370060143
Subject(s) - proband , econometrics , statistics , sampling bias , complete information , computer science , mathematics , sample size determination , biology , genetics , mathematical economics , mutation , gene
Assumptions and applications of the widely used incomplete, multiple ascertainment model have been examined. The common use of a reduced version of the model by suppressing the information about independently ascertained probands leads to inaccurate and unstable estimates. The fact that many samples consist mainly of families ascertained through the first member who has the disorder may lead to seriously biased estimates of the segregation probability, as the model does not take this common ascertainment situation into account.