Sentence examples for negative proportion from inspiring English sources

This means, if you stop to think about it, that the rate of change of the rate of change at any point (the second differential of a sine or cosine curve, to use the mathematical term) is always in negative proportion to its height at that point; it is as if it was being pushed towards the origin by a force proportional to its distance from it.

The ΔE value showed a negative proportion to the content of meso pentad fraction (mmmm) in all of isotactic PP (iPP) samples, and that of syndiotactic PP sample considerably deviated from this negative proportion relationship.

Receiver operating characteristics (ROC) curves were calculated (for hospital mortality), and these curves graphically describe the sensitivity of a diagnostic test (true positive proportion) vs. 1 - specificity (true negative proportion) and provide an improved measure of the overall discriminatory power of a test as they assess all possible threshold values.

The proportion of all STI cases not identified in a screening question evaluation is estimated as the false negative proportion (1 SE).

The absolute number of unidentified cases depends on the false negative proportion of the screening question and on the prevalence of asymptomatic STI.

Two of these 272 participants had deep vein thrombosis, a false negative proportion of 0.3% (0.04% to 1.1%).

The specific parameters used in the five models are summarized in Table 1: We used summarized receiver operating characteristic (SROC) curves to compare performance, where the test sensitivities and specificities (true positive and true negative proportions) for a range of p-value cutoffs were averaged over 500 simulated datasets in each study.

However, due to the large number of SNPs, even simply solving the linear system without constraints (W ^ = C o v (P ) − 1 C o v (P, S ) ) and substituting zero for the (very) few small negative proportions, can yield very accurate results which practically meet the weight constraints.

To compare performance, we used Summarized Receiver Operating Characteristic (SROC) curves, where the test sensitivities and specificities (true positive and true negative proportions) for a range of p-value cutoffs (or FDR cutoffs for results with multiple testing adjustments) were averaged over 100 simulated datasets.

A receiver operating characteristic curve was obtained by plotting the true-positive proportion (sensitivity) against the false-negative proportion (1 – specificity).

Metaphase karyotypes of 100 trisomy 21 cells by an independent reference laboratory indicated one cell that was disomy 21, for a false-negative proportion of 1% (Table  II).