Sentence examples for maximizing variability in from inspiring English sources

Unless one is interested in the average exposure of the population as a whole (in which case maximizing variability in hour of sampling might be a good option for quickly metabolized compounds), this variability is a potential source of nuisance.

U.S. Census block groups in Seattle-King County, Washington and BaltiMaryland-Washingtonington DC regions were selected via geographic information systems to maximize variability in walkability and income.

To maximize variability in the selected neighborhoods only meshblocks in the highest and lowest tertiles for walkability scores were eligible for selection.

Each country and geographical jurisdiction has its own limited variability in the prevalence of obesity and each of the potentially modifying factors at different levels, yet an international study is able to maximize variability in these factors.

The sampling design was not hierarchical, but instead was designed to maximize variability between observations in both disease prevalence and the environmental predictors.

The primary sampling frame of schools was typically stratified by indicators of socio-economic status in order to maximize variability within sites.

The primary reason for using specific measures of diabetes-related quality of life is to provide an accurate, comprehensive, and personal assessment of this complication, analyzing its role in the patient's life and maximizing the variability in the responses of patients with the same pathology or in certain groups [ 11].

The experimental design aimed to maximize potential variability in transcript abundance for the putative RG under study.

We recruited participants from high and low walkable areas to maximize the variability in transport-related behaviour (active vs. motorized).

Within our chosen region we sought to maximize the variability in cases [ 22] while also identifying institutes willing to participate in the study.

Two-hundred and one sampling sites (the largest sampling design to date for LUR estimation) for two seasons were selected using a location-allocation algorithm that maximized the potential variability in measured pollutant concentrations and represented populations in the health study.