Random effects modeling approaches for estimating ROC curves from repeated ordinal tests without a gold standard

Biometrics

Volumn 63, Issue 2, 2007, Pages 593-602

  Albert, Paul S ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Diagnostic accuracy; Latent class analysis; Mixture models; Random effects models for repeated ordinal data; ROC curves

Indexed keywords

BIOMETRICS; DIAGNOSIS;

BINARY TESTS; DIAGNOSTIC ACCURACY; LATENT CLASS ANALYSIS; MIXTURE MODELING; MODELING APPROACH; ORDINAL DATA; RANDOM EFFECT MODEL FOR REPEATED ORDINAL DATA; RANDOM EFFECTS MODEL; RECEIVER OPERATING CHARACTERISTIC CURVES; SHOW THROUGH;

RANDOM PROCESSES;

CANCER; ESTIMATION METHOD; METHODOLOGY; SIMULATION;

AREA UNDER THE CURVE; ARTICLE; DIAGNOSTIC ACCURACY; DISEASE SIMULATION; GOLD STANDARD; METHODOLOGY; RANDOM EFFECT MODELING; RECEIVER OPERATING CHARACTERISTIC; UTERUS CANCER;

EID: 34547659141     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2006.00712.x     Document Type: Article

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