title: Use of generalized estimating equations in segregation analysis of continuous outcomes.
abstract: The use of generalized estimating equations (GEE) [Liang and Zeger, 1986] is explored as a potential alternative to maximum likelihood methods for segregation analysis of continuous phenotypes. We discuss the number of sample moments required by GEE to estimate parameters in simple major gene models, and the computational burden of the GEE methods applied to large pedigrees.
authors.affiliation: Department of Preventive Medicine, University of Southern California, Los Angeles 90033.
authors.forename: D O
authors.initials: DO
authors.lastname: Stram
authors.forename: H
authors.initials: H
authors.lastname: Lee
authors.forename: D C
authors.initials: DC
authors.lastname: Thomas
mesh_terms: D006801:Humans; D016013:Likelihood Functions; D016014:Linear Models; D008957:Models, Genetic; D010641:Phenotype; D013223:Statistics as Topic / Q000379:methods