Assessing risk prediction models in case-control studies using semiparametric and nonparametric methods

Statistics in Medicine

Volumn 29, Issue 13, 2010, Pages 1391-1410

  Huang, Ying ^a   Pepe, Margaret Sullivan ^b,c  

^a Department of Biostatistics Mailman School of Public Health Columbia University ^*  (United States)

^b Fred Hutchinson Cancer Research Center   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

Author keywords

Biomarker; Case control study; Classification; Hosmer Lemeshow test; Predictiveness curve; Risk; ROC curve

Indexed keywords

ARTICLE; CALIBRATION; CANCER RISK; CASE CONTROL STUDY; HUMAN; NONPARAMETRIC TEST; PARAMETRIC TEST; PREDICTION; PROSTATE CANCER; RISK ASSESSMENT; SAMPLE; SIMULATION; STATISTICAL MODEL; BLOOD; COMPUTER SIMULATION; MALE; PREDICTIVE VALUE; PROCEDURES; PROSTATIC NEOPLASMS; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL ANALYSIS; UNITED STATES;

PROSTATE SPECIFIC ANTIGEN; TUMOR MARKER;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; LOGISTIC MODELS; MALE; PREDICTIVE VALUE OF TESTS; PROSTATE-SPECIFIC ANTIGEN; PROSTATIC NEOPLASMS; RISK ASSESSMENT; ROC CURVE; STATISTICS, NONPARAMETRIC; TUMOR MARKERS, BIOLOGICAL; UNITED STATES;

EID: 77953166434     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3876     Document Type: Article

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