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Approaches to harmonize the pre‐analytical steps
Harmonization projects
FN = false negative
Sensitivity: the probability of a positive test
model AUC
1 0.959 2 0.942 3 0.926 4 0.880 5 0.871 6 0.818 7 0.813
Fertility and Sterility, 2014, Vol. 102, No. 5, 1233‐1243
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Diagnostic accuracy of potential biomarkers have to be assessed
SN x 100 TP = true positive
Area under the curve (AUC) represents degree or measure of separability. Higher the AUC, better the model distinguishes
between patients with disease and without disease. ROC curve
result in a subject with actual positive outcome. SP x 100
TN = true negative FP = false positive
Speciticity: the probability of a negative test result in a subject with actual negative outcome.
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PRECONGRESS COURSE 03 I VIENNA, AUSTRIA – 23 JUNE 2019 141
