Sentence examples for the selection measures from inspiring English sources

This study examined the association between the selection measures and post-recruitment performance in residency.

This longitudinal study examines the predictive validity of UKCAT for final performance in the undergraduate medical degree programme at one Medical School and compares this with the predictive validity of the selection measures available pre-UKCAT.

While the methods used to assess academic ability are reliable and valid [ 23] there is scant evidence of reliability and validity of the selection measures used for personal characteristics, or even which method can assess for which personal attributes.

We considered the selection measures μ P  − value and adjusted the positive predictive value (PPV*); the latter extended true-positive status to any selected SNP within 500 kb of a SNP identified as a likely marker of a height-affecting variant in the GIANT Consortium's analysis of ~ 180,000 unrelated individuals [ 39].

Although the phase transition from large to small NE appeared to be affected adversely by LD (at least in the noiseless case as shown in Figure  3A), the selection measures were less affected, as seen by comparing Figure  4 calculated using the intact chromosome 22 with Figure  2 using markers drawn at random from across the genome.

The bivariate DeFries Fulker regression equation, which predicts co-twin scores on the outcome measure from proband scores on the selection measure and zygosity, was then used to formally estimate h2.xy.

Based on estimates of laying date heritability, and on the force of selection presently acting on this trait, quantitative genetic models predict that selection would need to be four times stronger than the selection measured, for microevolution to explain the advance observed in great tit breeding phenology.

The position of the cursor or of the top left corner of the selection measured from the top left corner of the slide.

The selection criterion measures the usefulness of any feature subset, and feature selection seeks the feature subset that optimizes the selection criterion.

A closer examination of the results shows that this is due to the model selection measures incorrectly selecting the +I+G ASRV where the true ASRV is +G.

Table 5 shows that when the original model amino acid frequencies were randomly perturbed, there was a definite trend among all of the model selection measures to select the corresponding '+F' version of the particular model over the original models.