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The best cut off points was selected using ROC analysis.
Study in Malaysia found that the best cut off point for secondary infection was ≥ 2.0[ 16].
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The best cut-off point for remission was 14.
At the best cut-off value (score ≥ 10) sensitivity and specificity were 80%, 97.8%, respectively.
The ROC curve identified the best cut-off point for M1 MFV125cm/s).
The best cut-off point for the dichotomous outcome was 7.5 (sensitivity 90.3%, specificity 56.7%).
The best cut-off point was selected as the highest value of sensitivity − (1 − specificity).
Using the best cut-off value of AFP (>28), showed a sensitivity of (44%) and specificity of (73.3%).
Youden index revealed TBAs on admission ≥5.2 μmol/l as best cut-off for discriminating between survivors and non-survivors.
The best cut-off point for the dichotomous outcome was 7.5 (sensitivity 90.3%, specificity 56.7%) (Table 3).
The best cut-off is the value that gives the highest ROC score when used to build a model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com