"population variability" is a correct and usable phrase in written English.
You can use "population variability" when discussing the differences or variations within a specific group or population, such as in scientific or statistical research. Example: "The study found a high level of population variability among different age groups in the city, with older residents showing a greater risk for health issues compared to younger residents."
Probable causes for these impacts are related to settlement dynamics, population variability, and land use changes.
Across the population, variability in the size of epidemics results in large-scale temporal changes in infection and disease risk that correlate poorly with age.
This paper presents an extension of the Bayesian approach to population variability analysis, which concerns the introduction of sources estimates (e.g. engineering judgment) as one of the forms of evidence used in the construction of population variability distributions.
Bayesian population variability analysis, also known as the first stage in two-stage Bayesian updating [IEEE Trans . Power Appar Syst.
Finally, using population genetics tools, we show that positive selection and admixture with Neanderthals have both contributed to shape the current population variability in the splicing landscape of the human immune response.
As such, the regulatory variants we report here, whether adaptive or not, constitute a valuable resource to explore further how AS contributes to individual and population variability in host responses to infection and immune disease susceptibility.
The mechanistic link from neurochemistry to perception provides a vital step in understanding population variability in sensory behavior, informing metabolic therapeutic interventions to restore perceptual abilities clinically.
Sampling errors can be divided into four groups: errors originating from inherent sample variability, errors from population variability, sampling design errors, and field procedure errors.
This study demonstrated that the Monte Carlo method could be used for muscle force prediction by integrating population variability of physiological parameter into a biomechanical muscle model.
