Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test

Biostatistics

Volumn 5, Issue 4, 2004, Pages 573-586

  Cai, Tianxi ^a   Moskowitz, Chaya S ^b  

^a HARVARD UNIVERSITY   (United States)

^b MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

Classification; Diagnostic accuracy; Maximum likelihood; Screening; Semi parametric transformation model

Indexed keywords

CA 125 ANTIGEN; CA 19-9 ANTIGEN;

ALGORITHM; ARTICLE; BLOOD; COMPUTER SIMULATION; DIAGNOSTIC TEST; HUMAN; MALE; METHODOLOGY; PROSTATE TUMOR; ROC CURVE; STANDARD; STATISTICAL MODEL;

ALGORITHMS; CA-125 ANTIGEN; CA-19-9 ANTIGEN; COMPUTER SIMULATION; DIAGNOSTIC TESTS, ROUTINE; HUMANS; LIKELIHOOD FUNCTIONS; MALE; PROSTATIC NEOPLASMS; ROC CURVE;

EID: 16644397312     PISSN: 14654644     EISSN: None     Source Type: Journal    
DOI: 10.1093/biostatistics/kxh009     Document Type: Article

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