Using the ROC curve for gauging treatment effect in clinical trials

Statistics in Medicine

Volumn 25, Issue 4, 2006, Pages 575-590

  Brumback, Lyndia C ^a   Pepe, Margaret S ^a,b   Alonzo, Todd A ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b USA   (United States)

^c UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

AUC regression; Covariate adjustment; Effect modification; Non parametric; Wilcoxon Mann Whitney test

Indexed keywords

PLACEBO; TOBRAMYCIN;

ARTICLE; CLINICAL TRIAL; COVARIANCE; CYSTIC FIBROSIS; HUMAN; RANK SUM TEST; REGRESSION ANALYSIS; ROC CURVE; STATISTICAL MODEL; STUDENT T TEST;

ADMINISTRATION, INHALATION; ADOLESCENT; ADULT; AGE FACTORS; ANTI-BACTERIAL AGENTS; CHILD; CLINICAL TRIALS, PHASE III; CYSTIC FIBROSIS; DATA INTERPRETATION, STATISTICAL; FEMALE; FORCED EXPIRATORY VOLUME; HUMANS; MALE; MULTICENTER STUDIES; RANDOMIZED CONTROLLED TRIALS; ROC CURVE; STATISTICS, NONPARAMETRIC; TOBRAMYCIN; TREATMENT OUTCOME;

EID: 31744449380     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.2345     Document Type: Article

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