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A difference in the survey environment might be a contributing factor.
When there was 10%% difference in the survey specific PRs, an interaction term between male circumcision and year of the survey was introduced in combined regression models for each of the sexual risk behaviours to further test if the survey period was important.
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The differences in the survey time and test time are controlled for by including the dummies for quarters of survey time in regressions.
The use of standard units of measurement as well as the consideration of partakers in meals and of seasonality generates significant differences in the survey results.
Mann Whitney U tests were performed to compare sex differences in the survey and 3D scan data, along with descriptive and qualitative analyses.
Differences in the survey methods (paper questionnaires in the SCCSS and telephone interviews in the SHS) may have influenced replies.
Overall, there were regional differences in the survey response rate: 31.1% of nephrologists from the 'more PD' areas answered, compared with only 19.0% in the 'less PD' regions.
Despite age differences in the survey respondents, the prevalence of overweight, high cholesterol and diabetes mellitus appeared to have decreased, with a greater decrease among women than men.
Differences between the studies may be due to differences in pesticide practices in the two regions, greater statistical power in the Long Island study, or differences in the survey instruments.
This suggests that the larger differences in the survey estimates were not due to differences in sample composition or differential non-response but due to differences in measurement error.
The reason for these differences in utility weights is unclear and may be partly attributed to cultural divergence and differences in the survey methodology, i.e. questionnaire format and application method.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com