Regressive logistic models for ordered and unordered polychotomous traits: Application to affective disorders

1 January 1989

journal article
research article
Published by Wiley in Genetic Epidemiology

Vol. 6 (1) , 211-215
https://doi.org/10.1002/gepi.1370060137

Abstract

Regressive models are extended to disease phenotypes with two or more affection classes through the use of polychotomous logistic regression. The classes of affection may be ordered (ranked as on a liability continuum), or unordered. Data on affective disorders are used for illustration.

Keywords

This publication has 10 references indexed in Scilit:

Logistic Regression for Dependent Binary Observations
Published by JSTOR ,1987
CODING ORDINAL INDEPENDENT VARIABLES IN MULTIPLE REGRESSION ANALYSES
American Journal of Epidemiology, 1987
Regressive Logistic Models for Familial Disease and Other Binary Traits
Biometrics, 1986
On the statistical determination of major gene mechanisms in continuous human traits: Regressive models
American Journal of Medical Genetics, 1984
Calculation of Polychotomous Logistic Regression Parameters Using Individualized Regressions
Biometrika, 1984
A Family Study of Schizoaffective, Bipolar I, Bipolar II, Unipolar, and Normal Control Probands
Archives of General Psychiatry, 1982
Regression Models for Ordinal Data
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1980
A General Model for the Genetic Analysis of Pedigree Data
Human Heredity, 1971