Table 2.

Characteristics of assay analytical performance and statistical analyses for evaluating test(s) accuracy

Characteristics
Specimen and analytical performance characteristics 
 • Specimen stability with freeze/thaw 
 • Specimen type and matrix complexity (undiluted plasma/serum may have circulating antibodies that can cross-react with the specific antibodies) 
 • Assay specificity (interference, cross-reactivity) 
 • Assay sensitivity (lower limit of detection) 
 • Assay range 
 • Precision within runs and between runs 
 • Accuracy: Recovery of spiked analyte is within 75%-125% at all ranges 
Analysis for test(s) accuracy evaluation 
 • Sensitivity: Proportion of subjects in a sample of patients with the target condition in whom the test is positive 
 • Specificity: Proportion of subjects in a sample of patients without the target condition in whom the test is negative 
 • Receiver operator characteristic curve: A plot of the true-positive rate vs the false-positive rate for all possible cut points of a biomarker 
 • Positive predictive value: Proportion of patients in the overall population with a positive test who have the target condition 
 • Negative predictive value: Proportion of patients in the overall population with a negative test who do not have the target condition 
Characteristics
Specimen and analytical performance characteristics 
 • Specimen stability with freeze/thaw 
 • Specimen type and matrix complexity (undiluted plasma/serum may have circulating antibodies that can cross-react with the specific antibodies) 
 • Assay specificity (interference, cross-reactivity) 
 • Assay sensitivity (lower limit of detection) 
 • Assay range 
 • Precision within runs and between runs 
 • Accuracy: Recovery of spiked analyte is within 75%-125% at all ranges 
Analysis for test(s) accuracy evaluation 
 • Sensitivity: Proportion of subjects in a sample of patients with the target condition in whom the test is positive 
 • Specificity: Proportion of subjects in a sample of patients without the target condition in whom the test is negative 
 • Receiver operator characteristic curve: A plot of the true-positive rate vs the false-positive rate for all possible cut points of a biomarker 
 • Positive predictive value: Proportion of patients in the overall population with a positive test who have the target condition 
 • Negative predictive value: Proportion of patients in the overall population with a negative test who do not have the target condition 
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