Sentence examples for shrink the effect from inspiring English sources

It would not only shrink the effect of salary disparities, but would also generate some much-needed revenue.

In order to identify the robust associations from the over 200 associations produced by this analysis, Empirical Bayes (EB) methods 32 were used to shrink the effect for each morbidity-PD association towards the null in proportion to the variance of the OR.

The class of shrinkage methods, which effectively shrink the effects from some predictors to zero, can both improve performance and reduce computational costs in many instances.

This is a standard prior distribution for random effects and acts to shrink the effects toward zero in the event there is not strong evidence in the data that there is substantial correlation among responses not accounted for by the explanatory variables (e.g., among responses from students taught by the same instructor).

55 In this study, we used a shrinkage estimation approach to shrink the effects of the seemingly null SNPs towards 0, as the proportion of null SNPs required to calculate the false discovery rate cannot be reliably estimated from our candidate SNP data.

This approach shrinks the effect's variance only, which leads to a modified t-test.

In contrast, smaller standard deviations shrank the effect sizes too much, thus preventing confident predictions for many variants.

In addition, we hypothesise that the effect on reducing smoking prevalence in the intervention group would have been larger in a randomised experimental setting as we found two biases both potentially shrinking the effect of the intervention (see below).

Fitting a fractional polynomial to the effect of randomised group over time and shrinking the effect of outliers beyond three years confirmed these results, although the confidence limits were wide.

This method simultaneously estimates multiple SNP effects and shrinks the effects of zero-effect SNPs towards zero, and thus avoids complex model selection (Fang et al. 2013, unpublished).

In Bayesian genomic selection models the regularization of the excess predictors is performed by shrinking the effects of the markers not linked to the phenotype toward zero by assigning a suitable shrinkage inducing prior density for the marker effects.