For a more quantitative assessment of how well a single urine sample predicts a subject's exposure category based on 3-month average metabolite levels, we conducted sensitivity and specificity analyses, using only the results from the 10 subjects who provided nine urine samples each (Table 4).
Pairwise LD analysis on the Bantu samples, predicted a single haplotype block encompassing a 1-kb region towards the 5′ end of the gene, which showed strong LD between four variants, −2572A>G, −2192C>T, −1982C>T and −1538G>A (Fig. 1A).
Young's modulus of a specific CT-scanned macroporous scaffold sample, predicted from a Finite Element simulation of a uniaxial compression test, agrees well with the experimental value obtained from an ultrasonic test on the same sample.
The statistical data obtained from natural samples predict a lognormal distribution of calcite grains.
Sensitivity is the probability for a NED sample to be correctly predicted as Low risk; Specificity is the probability for a Failed sample to be correctly predicted as High risk; PPV is the probability that a sample predicted as Low risk actually belongs to class NED; NPV is the probability that a sample predicted as High risk actually does not belong to NED [ 17].
Risk for mania, again in a nonclinical sample, predicted imagery in the form of daydreaming (Meyer, Finucane, & Jordan, 2011).
For classification a model with all except one sample were build and the last sample predicted into the model.
Figure 1 compares 'out of sample' predicted and observed EQ-5D-3L distributions.
In 29 of the 30 ErbB2-positive samples, ONCOCNV predicted a gain in the genomic region containing the ErbB2 gene (Fig. 5).
For women who were experiencing their usual amount of depression and PTSD, and reported the mean level of depression and PTSD scores in the sample, the model predicted an alcohol use score of 4.780 (SE = 0.284, p < 0.001).
