Bayesian semiparametric ROC curve estimation and disease diagnosis

Statistics in Medicine

Volumn 27, Issue 13, 2008, Pages 2474-2496

  Branscum, Adam J ^a   Johnson, Wesley O ^b   Hanson, Timothy E ^c   Gardner, Ian A ^d  

^a UNIVERSITY OF KENTUCKY   (United States)

^b Ringgold Standard Institution Informatics   (United States)

^c UNIVERSITY OF MINNESOTA   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Evaluation of screening tests; Mixtures of Polya trees; No gold standard test data; Nonparametric approach; Sensitivity; Specificity

Indexed keywords

ANTIBODY DETECTION; ANTIGEN DETECTION; AREA UNDER THE CURVE; ARTICLE; BAYES THEOREM; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; DIAGNOSTIC VALUE; DISEASE COURSE; ENZYME LINKED IMMUNOSORBENT ASSAY; FECES CULTURE; HUMAN; NONHUMAN; NONPARAMETRIC TEST; PARATUBERCULOSIS; PREDICTION; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; SCREENING TEST;

ANIMALS; ANTIBODIES, BACTERIAL; AREA UNDER CURVE; BAYES THEOREM; CA-125 ANTIGEN; DIAGNOSIS; ENZYME-LINKED IMMUNOSORBENT ASSAY; HUMANS; MODELS, STATISTICAL; PANCREATIC NEOPLASMS; PARATUBERCULOSIS; ROC CURVE;

EID: 44949222621     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3250     Document Type: Article

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