Nonparametric estimation of ROC curves in the absence of a gold standard

Biometrics

Volumn 61, Issue 2, 2005, Pages 600-609

  Zhou, Xiao Hua ^a,b   Castelluccio, Pete ^c   Zhou, Chuan ^b  

^a VA PUGET SOUND HEALTH CARE SYSTEM   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

^c INDIANA UNIVERSITY   (United States)

Author keywords

Diagnostic tests; EM algorithm; Imperfect gold standard bias; Missing data; ROC curve

Indexed keywords

DIAGNOSIS; LEARNING ALGORITHMS; MAXIMUM LIKELIHOOD ESTIMATION; SAMPLING;

COMPLEX DISEASE; DIAGNOSTIC ACCURACY; DIAGNOSTIC TESTS; EM ALGORITHMS; GOLD STANDARDS; IMPERFECT GOLD STANDARD BIAS; MISSING DATA; NON-PARAMETRIC ESTIMATIONS; ROC CURVES; SIMULATION STUDIES;

MEAN SQUARE ERROR;

MAXIMUM LIKELIHOOD ANALYSIS; STATISTICAL ANALYSIS;

ANALYTICAL ERROR; DIAGNOSTIC ACCURACY; FINITE ELEMENT ANALYSIS; HUMAN; INTERMETHOD COMPARISON; MAXIMUM LIKELIHOOD METHOD; NONPARAMETRIC TEST; PARAMETRIC TEST; PATHOLOGIST; REVIEW; ROC CURVE; SIMULATION; STANDARD; UTERINE CERVIX CARCINOMA;

EID: 20744436338     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2005.00324.x     Document Type: Review

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