A partially linear tree-based regression model for multivariate outcomes

Biometrics

Volumn 66, Issue 1, 2010, Pages 89-96

  Yu, Kai ^a   Wheeler, William ^b   Li, Qizhai ^a,c   Bergen, Andrew W ^d   Caporaso, Neil ^a   Chatterjee, Nilanjan ^a   Chen, Jinbo ^e  

^a NATIONAL CANCER INSTITUTE   (United States)

^b INFORMATION MANAGEMENT SERVICES INC   (United States)

^c CHINESE ACADEMY OF SCIENCES   (China)

^d SRI INTERNATIONAL   (United States)

^e UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Generalized estimating equation; Genetic association study; Model selection; Multiple comparison adjustment; Tree based model

Indexed keywords

ERROR ANALYSIS; REGRESSION ANALYSIS; RISK ASSESSMENT;

COMPLEX TRAITS; GENERALIZED ESTIMATING EQUATIONS; GENETIC ASSOCIATION STUDY; MODEL SELECTION; MULTIPLE COMPARISON; MULTIPLE-COMPARISON ADJUSTMENT; REGRESSION MODELLING; TREE-BASED MODEL; TREE-BASED REGRESSION; TREES-BASED MODELS;

GENES;

ALCOHOL; BEHAVIORAL ECOLOGY; BIOMETRY; DATA SET; ERROR ANALYSIS; ETIOLOGY; GENETIC ANALYSIS; GENETIC MARKER; LINEARITY; MEDICAL GEOGRAPHY; MODEL TEST; MULTIVARIATE ANALYSIS; PHENOTYPE; RISK ASSESSMENT; SMOKING;

COMPUTER SIMULATION; EPIDEMIOLOGY; GENETIC PREDISPOSITION; GENETICS; HUMAN; MULTIVARIATE ANALYSIS; PREVALENCE; QUANTITATIVE TRAIT; REGRESSION ANALYSIS; SMOKING; STATISTICAL MODEL;

COMPUTER SIMULATION; GENETIC PREDISPOSITION TO DISEASE; HUMANS; LINEAR MODELS; MULTIVARIATE ANALYSIS; PREVALENCE; QUANTITATIVE TRAIT, HERITABLE; REGRESSION ANALYSIS; SMOKING;

EID: 77949768679     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2009.01235.x     Document Type: Article

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