Best combination of multiple diagnostic tests for screening purposes

Statistics in Medicine

Volumn 29, Issue 28, 2010, Pages 2905-2919

  Qin, Jing ^a   Zhang, Biao ^b  

^a NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES   (United States)

^b UNIVERSITY OF TOLEDO   (United States)

Author keywords

Bootstrap; Density ratio model; Empirical likelihood; Gaussian process; Likelihood ratio; Logistic regression; ROC curve; Semiparametric likelihood; Sensitivity; Specificity; Weak convergence

Indexed keywords

CA 125 ANTIGEN; PROSTATE SPECIFIC ANTIGEN;

ALGORITHM; ARTICLE; BOOTSTRAPPING; CANCER SCREENING; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; HUMAN; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MONTE CARLO METHOD; PANCREATITIS; PARAMETRIC TEST; PROSTATE CANCER; RECEIVER OPERATING CHARACTERISTIC; SCREENING TEST; SENSITIVITY AND SPECIFICITY; SIGNAL DETECTION; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL MODEL;

BIOSTATISTICS; CA-19-9 ANTIGEN; DIAGNOSTIC TESTS, ROUTINE; HUMANS; LIKELIHOOD FUNCTIONS; MALE; MASS SCREENING; MODELS, STATISTICAL; NEOPLASMS; PANCREATIC NEOPLASMS; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS; ROC CURVE;

EID: 78649599825     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4068     Document Type: Article

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