Sentence examples for minimizing variability in from inspiring English sources

Several studies highlight the advantages of minimizing variability in elective volumes, to minimize overflows and increase efficiency [[10] [13]].

This demonstrates that minimizing variability in saccade endpoints is behaviorally relevant because the smaller the variability, the smaller the mean error will be.

Therefore, minimizing variability in cell-type composition across samples needs to be accounted for prior to analysis to reduce the likelihood of introducing bias into the study.

Minimizing variability in reproductive success removes the between-family component of selection, potentially halving the rate of genetic adaptation to captivity (Frankham and Loebel 1992; Saura et al. 2008).

Standard practice to minimize variability in beta cell function (BCF) measurement is to test in inpatient (IP) settings.

Similarly, if contrast-enhanced images are used, contrast agent administration should be consistent to minimize variability in gray level intensity related to differences in contrast agent administration or dose.

We therefore investigated if these plants can be selective toward specific heavy metal and in order to minimize variability in the analytical determination, we assessed the heavy metals concentration in three different seasons over the course of one solar year.

The aim of this study was to evaluate the impact of SUV reconstruction dependency on PERCIST and EORTC classification and the ability of the EARL program to minimize variability in response assessment.

In conclusion, to be informative, a HPA axis study should be well designed and carefully implemented to minimize variability in results and improve the overall interpretability of data obtained.

When linking the observed covariate (here, biomass) to predictor data (here, geospatial data), parametric regression techniques explicitly attempt to minimize variability in the covariate, often resulting compressed prediction ranges when extrapolation is later performed [40] low values are overestimated and high values are underestimated.

To minimize variability in sampling approaches, we selected quantitative data from each study that were collected using comparable sampling schemes.