Sentence examples for differences in populations from inspiring English sources

"differences in populations" is a grammatically correct and commonly used phrase in written English
It refers to variations or disparities among groups of people or living organisms. You can use this phrase to discuss variations in characteristics, behaviors, or patterns within different populations. Example: The study found significant differences in populations of birds living in urban areas compared to those in rural areas.

Exact(60)

Reasons for the conflicting evidence between BPA exposure and either risk of PTB or gestational length may include differences in study size and design, differences in populations, use of differing biological media for exposure assessment, or other factors.

To make things even more complex, there is a wide diversity in definitions and criteria of multimorbidity and there are many different measurement instruments and considerable differences in populations investigated [ 1].

The reason for the different results between this study and ours might be the differences in populations or methods used to assess insulin sensitivity.

Methodological issues across studies, such as the length of follow-up post- H. pylori treatment [ 11, 29] and differences in populations examined [ 11] may partially account for differing metabolic and anthropometric findings.

Also slight differences in populations are observed.

Differences in populations, interventions, perspectives, and time horizons have all contributed to the discrepancies between studies.

Gaps between clinical trials and community care include differences in populations and treatment strategies.

The research carried by the authors of this paper synchronizes with the findings of other researchers despite differences in populations selected.

Future assessments of the beach clam resources need to account for inherent differences in populations across individual beaches, including non-fished (control) beaches.

Differences in populations were determined using the unpaired t test as calculated with Sigmaplot 9 statistical software.

Classical genetic approaches to the study of complex phenotypes have historically been based on relating DNA variation to trait differences in populations from specific paired matings.

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