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The MTWV results are presented to evaluate threshold selection.
Using receiver-operating characteristic (ROC) curve methodology this study was designed to assess the diagnostic effectiveness of somatic cell count (SCC) and the California mastitis test (CMT) in Valle del Belice sheep, and to propose and evaluate threshold values for those tests that would optimally discriminate between healthy and infected udders.
We combined isolation by distance, phylogenetic analyses, and comparison of molecular distances to evaluate threshold values for the identification of candidate species among these frogs.
We base our analyses on the three methods described above, and furthermore combine the IBD and distance-based analysis to evaluate threshold values for the identification of candidate species in amphibians.
This could be important if the device is being used to target saturation values in a narrow range or to evaluate threshold saturation values.
This study is unique in that it has used a decision tree model to evaluate threshold values for significant variables identified in multinomial logistic regression.
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To evaluate thresholds of various biomarkers for defining excess insulin activity to recognize congenital hyperinsulinism.
To evaluate thresholds, a 2-down-1-up procedure was used, that is, after two consecutive correct responses the dependant variable, CLM or CCM depending on the task, was decreased by 10% and increased by the same proportion after each incorrect response.
We aimed to evaluate thresholds using a method that would best approximate decisions made during clinical practice guideline development.
The first is that we did not evaluate thresholds for DVT treatment in the ICU setting, which is a more complex phenomenon.
Further, the utilization of the nonlinear models helps the policy maker by evaluating threshold characteristics of these models.
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