title: Use of conditional and marginal odds-ratios for analysing familial aggregation of binary data.
abstract: 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.
authors.affiliation: Department of Public Health, University of Western Australia, Perth, Australia.
authors.forename: P E
authors.initials: PE
authors.lastname: FitzGerald
authors.forename: M W
authors.initials: MW
authors.lastname: Knuiman
mesh_terms: D015982:Bias; D003627:Data Interpretation, Statistical; D004812:Epidemiologic Methods; D006801:Humans; D015233:Models, Statistical; D016017:Odds Ratio; D012044:Regression Analysis