A bayesian approach to a general regression model for ROC curves

Medical Decision Making

Volumn 18, Issue 4, 1998, Pages 436-443

  Hellmich, Martin ^a   Abrams, Keith R ^b   Jones, David R ^b   Lambert, Paul C ^b  

^a UNIVERSITY OF LEICESTER   (United Kingdom)

^b NONE

Author keywords

Bayesian methods; Diagnostic test; Gibbs sampling; Maximum likelihood; MCMC; Ordinal regression; ROC curve

Indexed keywords

ARTICLE; BAYES THEOREM; BREAST CANCER; COLON CANCER; ECHOGRAPHY; LIVER METASTASIS; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; SYSTEM ANALYSIS;

BAYES THEOREM; DECISION SUPPORT TECHNIQUES; HUMANS; LIKELIHOOD FUNCTIONS; LIVER NEOPLASMS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; REGRESSION ANALYSIS; ROC CURVE;

EID: 0031665898     PISSN: 0272989X     EISSN: None     Source Type: Journal    
DOI: 10.1177/0272989X9801800412     Document Type: Article

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