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
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
收藏
页码:180 / 193
页数:14
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