Classification trees for multiple binary responses

被引：79

作者：

Zhang, HP ^{[1
]}

机构：

[1] Yale Univ, Sch Med, Dept Epidemiol & Publ Hlth, New Haven, CT 06520 USA

来源：

JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION | 1998年 / 93卷 / 441期

关键词：

binary trees; indoor air quality; marginal models; model selection; multivariate binomial; nonparametric regression; work environment;

D O I：

10.2307/2669615

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Multiple binary responses arise from many applications for which an army of health related symptoms are of primary interest. These symptoms are usually correlated. I generalize the tree-based methodology for a single response to the case involving multiple binary responses. In particular, I apply the method to analyze building-related occupant complaint syndrome based on a recently collected large database. Using the same database, I compare the performance of several node-splitting criteria far trees.

引用

页码：180 / 193

页数：14

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