用于有序和无序多分类性状的回归逻辑模型：在情感障碍中的应用。
Regressive logistic models for ordered and unordered polychotomous traits: application to affective disorders.
作者信息
Bonney G E, Dunston G M, Wilson J
机构信息
Howard University Cancer Center, Washington, D.C. 20060.
出版信息
Genet Epidemiol. 1989;6(1):211-5. doi: 10.1002/gepi.1370060137.
PMID:2731707
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.
摘要
通过使用多分类逻辑回归，回归模型被扩展到具有两个或更多患病类别（affection class）的疾病表型。患病类别可以是有序的（如在易感性连续体上排序），也可以是无序的。以情感障碍的数据为例进行说明。
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