Sentence examples for deviation influence from inspiring English sources

As the variance and standard deviation influence sample size calculation, we modelled the impact of a 1% increase in standard deviation on sample size, called elasticity.

While it is accepted that for use in economic evaluation it is the absolute difference and not the effect size that determines cost effectiveness, the standard deviation influences the degree of uncertainty in the probabilistic sensitivity analysis [ 24].

The number of standard deviation of influence on the global test P-value above the reference line under the null hypothesis is termed the z-score.

These deviations can influence procedure reliability, efficiency of usage of hospital resources and risk to staff and patient safety.

This deviation was influenced by the socially charged and politically aware nature of punk/hardcore punk, as evident in Metallica's cover versions of The Misfits and Anti-Nowhere League, as well as Megadeth's covers of The Sex Pistols.

It is clinically important to be aware that such deviations will influence knee joint loading, and over time may contribute to the development of secondary degenerative changes also in the knee joint.

In other words, ISOpure assumes that the tumor samples in the same collection have similar expression profiles except for some sample-specific deviations that influence prognosis and response to therapy; this assumption is more accurate when the tumors are of the same subtype (for example, adenocarcinomas of the lung [ 1]).

Manufacturing and assembly processes are always accompanied by deviations which influences the operational behavior.

We have demonstrated in an exemplar circadian model that the estimates of posterior parameter densities (as summarised by parameter means and standard deviations) are influenced predominately by the length of the time series, becoming more narrowly constrained as the number of circadian cycles considered increases.

We have demonstrated in an exemplar circadian model that the estimates of posterior densities (as summarised by parameter means and standard deviations) are influenced predominately by the length of the time series, becoming more narrowly constrained as the number of circadian cycles considered increases.

Knowledge regarding factors that influence deviation of the QRS axis is important when seeking to differentiate between physiological and pathological changes.