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Use of conditional and marginal odds‐ratios for analysing familial aggregation of binary data
Author(s) -
FitzGerald Patrick E.B.,
Knuiman Matthew W.
Publication year - 2000
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/(sici)1098-2272(200003)18:3<193::aid-gepi1>3.0.co;2-w
Subject(s) - odds , odds ratio , statistics , binary number , association (psychology) , econometrics , measure (data warehouse) , mathematics , binary data , demography , psychology , computer science , logistic regression , data mining , sociology , arithmetic , psychotherapist
We propose a method for measuring familial aggregation of binary outcomes that incorporates unconditional, i.e., marginal, odds‐ratios, for measuring association between outcomes within generations while using conditional odds‐ratios to measure association between generations. This method may be used together with marginal odds‐ratio models to explore the strength of association between individuals within a generation while accounting for the outcomes of predecessors. Interpretation of resulting odds‐ratios is straightforward and a number of features of the method are discussed. An example, using smoking status data from Busselton Health Study families, is used to illustrate our approach. Genet. Epidemiol. 18:193–202, 2000. © 2000 Wiley‐Liss, Inc.