Measuring the effectiveness of diagnostic markers in the presence of measurement error through the use of ROC curves.
The area under the receiver operating characteristic curve is frequently used to assess the effectiveness of diagnostic markers in distinguishing between diseased and healthy individuals. These markers are generally subject to measurement error. In this paper confidence intervals for the area under the curve are developed which take measurement error into account. These intervals depend on the availability of replicated observations for the subject. Both equal and unequal numbers of replicates per subject are considered. The practice of averaging over replicates and then ignoring measurement error is examined and found wanting.
Reiser
B
B
Department of Statistics, University of Haifa, Haifa 31905, Israel. rsst305@uvm.haifa.ac.il
D000293:Adolescent; D000328:Adult; D015415:Biomarkers; D002648:Child; D002675:Child, Preschool; D004796:Clinical Enzyme Tests; D016001:Confidence Intervals; D003402:Creatine Kinase / Q000097:blood; D003937:Diagnosis, Differential; D005260:Female; D006580:Genetic Carrier Screening; D006801:Humans; D016013:Likelihood Functions; D008297:Male; D008403:Mass Screening; D020388:Muscular Dystrophy, Duchenne / Q000175:diagnosis* / Q000235:genetics; D012372:ROC Curve; D012680:Sensitivity and Specificity
D015415:Biomarkers; D003402:Creatine Kinase