title: Compound regressive models for quantitative multivariate phenotypes: application to lipid and lipoprotein data.
abstract: In this paper we consider the compound version of the class D regressive models for a p variate phenotypic outcome. The likelihood function is noted and the results are illustrated with the Donner Laboratory data, without the assumption of a major gene for the brevity of presentation.
authors.affiliation: Fox Chase Cancer Center, Philadelphia, Pennsylvania.
authors.forename: P
authors.initials: P
authors.lastname: Bagchi
authors.forename: O
authors.initials: O
authors.lastname: Jiang
authors.forename: G E
authors.initials: GE
authors.lastname: Bonney
mesh_terms: D005260:Female; D020022:Genetic Predisposition to Disease; D006801:Humans; D016013:Likelihood Functions; D008074:Lipoproteins / Q000235:genetics*; D008297:Male; D008957:Models, Genetic; D010316:Particle Size; D010641:Phenotype; D010743:Phospholipids / Q000235:genetics*; D012044:Regression Analysis
chemical_list: D008074:Lipoproteins; D010743:Phospholipids