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Available databases were addressed by using a probability cutoff of 0.01 and the Bonferroni correction for multiple testing.
By using a probability cutoff value of >0.4 for predicting epidemic experience, the model had a sensitivity and specificity of 83% and 67%, respectively; these statistics were confirmed in the validation process (Table 3).
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Using a probability decision cutoff c of 0.42 and cross-validated predictions ~ y t, 4 of 5 years were correctly predicted to have exceeded 100 cases per 100,000 over the 20-year period, whereas 2 of the remaining 15 years were incorrectly predicted to exceed it (SENS = 0.80, SPEC = 0.87, HKS = 0.83).
Using a probability decision cutoff of 0.36 and cross-validated predictions ~ y t, 4 of 5 years were correctly predicted to have exceeded the threshold, whereas 1 of the remaining 15 years was incorrectly predicted to exceed it (SENS = 0.80, SPEC = 0.93, HKS = 0.87).
Veyrieras et al. (2008) tested for cis-eQTL in 11 466 genes in the HapMap lymphoblastoid cell lines and found that 419 of these genes contained strong evidence for an eQTL (using a posterior probability cutoff of >0.9).
Furthermore, using a predicted probability cutoff of 5% for biopsy would reclassify 15% of women below the biopsy threshold while retaining 100% sensitivity in cancer detection in this sample.
Pathway holes were filled using the 'Power User' mode with a probability cutoff of 0.9.
For this test, a probability cutoff of 0.1 was used (p<0.1).
A probability cutoff of 0.1 (10%) was used to classify patients as benign or malignant based on LR2 (Timmerman et al, 2005; Timmerman et al, 2010b; Van Holsbeke et al, 2012).
The additional Students t-test statistics were performed with a probability cutoff of p = 0.05.
By piping the resulting frames through a probability cutoff filter, we obtain the bubble stitches.
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