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
相关论文
共 32 条
[1]  
[Anonymous], 1982, TOPICS APPL MULTIVAR
[2]  
BREIMAN L, 1994, MACH LEARN, V26, P123
[3]   SICK BUILDING SYNDROME - A STUDY OF 4373 OFFICE WORKERS [J].
BURGE, S ;
HEDGE, A ;
WILSON, S ;
BASS, JH ;
ROBERTSON, A .
ANNALS OF OCCUPATIONAL HYGIENE, 1987, 31 (04) :493-504
[4]   MODELING MULTIVARIATE BINARY DATA WITH ALTERNATING LOGISTIC REGRESSIONS [J].
CAREY, V ;
ZEGER, SL ;
DIGGLE, P .
BIOMETRIKA, 1993, 80 (03) :517-526
[5]  
Clark L.A., 1992, STAT MODELS S, P377
[6]  
COX DR, 1972, J ROY STAT SOC C-APP, V21, P113, DOI 10.2307/2346482
[7]   A COMMENT ON THE COEFFICIENT OF DETERMINATION FOR BINARY RESPONSES [J].
COX, DR ;
WERMUTH, N .
AMERICAN STATISTICIAN, 1992, 46 (01) :1-4
[8]  
Diggle P., 2002, Analysis of Longitudinal Data
[9]   THE SICK BUILDING SYNDROME - PREVALENCE STUDIES [J].
FINNEGAN, MJ ;
PICKERING, CAC ;
BURGE, PS .
BRITISH MEDICAL JOURNAL, 1984, 289 (6458) :1573-1575
[10]  
FITZMAURICE GM, 1993, BIOMETRIKA, V80, P141, DOI 10.2307/2336764