Premium
Regression methods for assessing familial aggregation of disease
Author(s) -
Laird Nan M.,
Cuenco Karen T.
Publication year - 2003
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/sim.1504
Subject(s) - proband , logistic regression , disease , family aggregation , depression (economics) , regression , statistics , medicine , econometrics , clinical psychology , mathematics , biology , genetics , macroeconomics , gene , economics , mutation
This paper reviews methods for assessing familial aggregation of disease based on simple logistic regression models. Studies are based on a case‐control sampling design, where the disease status of the first degree relatives of both cases and controls are obtained. Both ‘proband predictive’ and ‘family predictive’ models are discussed, and an example is given using a case‐control sample from a lung cancer study in non‐smokers. The methods are extended to characterize co‐aggregation of two disorders, that is, presence of one disorder in the proband increases the risk of a second disorder in the relative. An example involving eating disorders and depression is given. Copyright © 2003 John Wiley & Sons, Ltd.