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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.
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We assessed differences between study populations and results using t-test and Χ statistical methods as appropriate.
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.
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.
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.
The severity of motor weakness may also differ within study and between study populations and a high degree of heterogeneity is likely to result in a higher standard deviation of the baseline score (the denominator in the equation) which could result in a small effect size.
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