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While various statistical approaches for determination of this screening cut point have been commonly adopted and described in the immunogenicity literature, the performance of these approaches has not been fully evaluated.
This paper reviews various statistical approaches for cut point calculation, evaluates the impact of sampling design and variability on the performance of each statistical approach, and highlights the difference between an 'average' or 'confidence-level' cut point in order to develop more specific recommendations regarding the statistical calculation of immunogenicity screening cut points.
A screening cut point was derived from 50 treatment-naive ALL patients (BioreclamationIVT) by targeting a 5% false-positive rate to minimize potential false-negatives.
Current evidence shows that women invited for screening cut their risk of dying from breast cancer by a fifth compared with no screening.
In order to align with industry benchmarks, the screening cut point was statistically derived by targeting a 5% false-positive rate following industry guidelines to minimize potential false-negatives.
ROC-curve analyses of NT-proBNP values for the prediction of a normal MPI was made to assess the NT-proBNP screening cut off-concentration at which a sensitivity of 95% for a normal MPI was achieved.
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For all symptoms, the LRs were greater than one across possible screening cut-offs.
Lee Karr, Venice, Fla.: The screening cuts make a certain kind of cynical sense when you realize that the bill for the consequences of those cuts won't be presented until after Bush has left office.
But when he started screening cuts from his own film to people in the camps, they stayed and watched.
We specifically used early wildtype virus samples from the pre-antiretroviral drug era to measure background reactivity and were able to define highly-specific screening cut-offs that are up to 67-fold more sensitive than conventional genotyping.
The optimal screening cut-off point for the illusory responses was ≥4 (sensitivity = 1.00, specificity = 0.88).
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