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.
Description
Use of conditional and marginal odds-ratios for analysing familial aggregation of binary data. - PubMed - NCBI
%0 Journal Article
%1 FitzGerald:2000:Genet-Epidemiol:10723105
%A FitzGerald, P E
%A Knuiman, M W
%D 2000
%J Genet Epidemiol
%K CategoricalDataAnalysis CorrelatedData review statistics
%N 3
%P 193-202
%R 10.1002/(SICI)1098-2272(200003)18:3<193::AID-GEPI1>3.0.CO;2-W
%T Use of conditional and marginal odds-ratios for analysing familial aggregation of binary data
%U https://www.ncbi.nlm.nih.gov/pubmed/10723105
%V 18
%X 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.
@article{FitzGerald:2000:Genet-Epidemiol:10723105,
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.},
added-at = {2019-11-20T09:53:32.000+0100},
author = {FitzGerald, P E and Knuiman, M W},
biburl = {https://www.bibsonomy.org/bibtex/20e1c7860085c67017a673ab0d4a47102/jkd},
description = {Use of conditional and marginal odds-ratios for analysing familial aggregation of binary data. - PubMed - NCBI},
doi = {10.1002/(SICI)1098-2272(200003)18:3<193::AID-GEPI1>3.0.CO;2-W},
interhash = {b9eef3bb71d8da1aca7b42d31e198490},
intrahash = {0e1c7860085c67017a673ab0d4a47102},
journal = {Genet Epidemiol},
keywords = {CategoricalDataAnalysis CorrelatedData review statistics},
month = mar,
number = 3,
pages = {193-202},
pmid = {10723105},
timestamp = {2019-11-20T09:55:38.000+0100},
title = {Use of conditional and marginal odds-ratios for analysing familial aggregation of binary data},
url = {https://www.ncbi.nlm.nih.gov/pubmed/10723105},
volume = 18,
year = 2000
}