Sentence examples for between study populations and from inspiring English sources

Exact(8)

We assessed differences between study populations and results using t-test and Χ statistical methods as appropriate.

The lack of clarity about similarity between study populations and method details makes the use of pooled group-level estimates of movements, such as mean flexion ROM, unwise.

Since measurement properties differ between study populations and settings, the PA questionnaire should be proven valid and reliable in the population of interest [ 12].

A random effect model assumes that in addition to the presence of random error, differences between studies can also result from real differences between study populations and procedures.

This model assumes that in addition to the presence of random error, differences between studies can also result from real differences between study populations and procedures, and it includes both within-study and between-study variations.

Potential explanations for the discrepant findings across investigations include inability to identify specific p53 mutational subtypes when using immunohistochemistry as a proxy, differences in metabolic activation and detoxification of PAHs between study populations, and chance findings.

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Similar(51)

Comparison between study population and background population is shown in Table 2.

Comparisons with others studies are difficult because of the differences between study population and definitions of malnutrition.

Differences in disease severity between study population and access to prenatal care may also have lead to different findings amongst studies.

Variables included in models were based on variables that were significantly different between study population and controls on bivariate analyses or have previously been shown to be associated either with kidney function or cardiovascular disease.

The current study compares three databases to gain insights into differences between study populations, measurement methods, and the robustness of risk factors associated with being diagnosed with an STI or HIV, or never been tested for HIV.

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