Regularized outcome weighted subgroup identification for differential treatment effects

Biometrics

Volumn 71, Issue 3, 2015, Pages 645-653

  Xu, Yaoyao ^a   Yu, Menggang ^b   Zhao, Ying Qi ^b   Li, Quefeng ^c   Wang, Sijian ^a,b   Shao, Jun ^a  

^a University of Wisconsin   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^c Princeton University   (United States)

Author keywords

Comparative effectiveness; Heterogeneity of treatment effectiveness; Regularization; Subgroup; Variable selection

Indexed keywords

BIOMETRICS;

COMPARATIVE EFFECTIVENESS; COVARIATES; DIFFERENTIAL TREATMENT; HETEROGENEITY OF TREATMENT EFFECTIVENESS; MAIN EFFECT; REGULARISATION; SUBGROUP; TREATMENT EFFECTS; TREATMENT SELECTION; VARIABLES SELECTIONS;

PATIENT TREATMENT;

BIOMETRY; COMPARATIVE STUDY; COVARIANCE ANALYSIS; DATA SET; HETEROGENEITY; IDENTIFICATION METHOD; VARIANCE ANALYSIS;

COMPUTER SIMULATION; OUTCOME ASSESSMENT; PROCEDURES; STATISTICAL ANALYSIS; STATISTICAL MODEL; TREATMENT OUTCOME;

COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); TREATMENT OUTCOME;

EID: 84941737703     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12322     Document Type: Article

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