Sentence examples for estimates of variance explained from inspiring English sources

On this scale, estimates of variance explained are invariant to disease prevalence and study ascertainment.

We previously formalized a test to measure inflation of estimates of variance explained due to residual relatedness and population structure (Speed et al., 2012).

GCTA fits genetic effects as random effects by a mixed linear model in order to derive estimates of variance explained by common SNPs (Yang et al. 2011).

Given the substantial estimates of variance explained, then with sufficient sample size it should be possible to construct a reasonable prediction model for epilepsy using genome-wide SNP data.

Therefore, we used a more lenient P-value threshold for prioritization and annotation of a set of 'promising' SNPs, reported estimates of variance explained by all GWAS SNPs and made available the complete set of our GWAS results.

Estimates of variance explained in datasets indicate how important the polygenic component of ER-positive disease is in explaining the overall occurrence of ER-positive and ER-negative diseases.

We show theoretically in the Supplementary material and through simulation in Supplementary Fig. 9, that if a proportion p of controls have been wrongly labelled as cases, and a proportion p' of cases are in fact controls, then the estimate of variance explained will reduce to (1 − p − p') h.

Specifically, we obtained the coefficient estimates (percentage of variance explained and associated p values) of a multilinear regression of the brain-to-brain entrainment results (at each channel pair) using as predictors the corresponding results from the brain entrainment to speech analysis (corresponding channels) for each of the 30 observations.

From the ANOVAs, we calculated the magnitude of main and interactive effects (ω2, estimated proportion of variance explained by the experimental variable [63]).

With data from a twin cohort containing both monozygotic and dizygotic twins, we can estimate proportions of variance explained by age, genetic variation, common environmental variation, and unique environmental variation (noise).

This method estimates the amount of variance explained by every possible frequency in the time series (and is the unsmoothed variant of spectral analysis).