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"Yet the majority of governments do too little to prevent it, leaving numerous opportunities to hide corruption away from public scrutiny and waste money that could be better spent" TI's Government Defence Anti-Corruption Index analyses measures by 82 countries to reduce corruption risks.
Using multiple regression analyses, measures of T1 anxiety were each examined for their ability to predict unique variance in disability, negative affect, and perceptions of control measured at T1 and T2.
For parametric analyses, measures were square root or log, transformed as appropriate to normalize their distributions.
For statistical analyses, measures of RMR were mass-corrected by using the residuals from a regression of RMR on body mass after a comparison of slopes tests supported a common slope for all genotypes.
In bivariate analyses, measures within home and family, potential for advancement through schooling, school quality and content, influence and support of adults and leisure activities each were associated with adult educational attainment after adjusting for age, sex and race/ethnicity.
In order to perform appropriate statistical analyses, measures of important environmental exposures are needed because these are known to substantially increase exacerbation risk, including co-morbidity, medication use, tobacco smoking history and smoking status.
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The financial analyses measured the profitability for investors or the financial incentive to engage in the activity.
It must be emphasized that blood plasma analyses measure the free fraction of 5-HT, while serum analyses reflect the total amount of 5-HT.
The economic analyses measured the value added by these activities to the national income, measured as the direct net change in gross national income.
Quantitative analyses measured the frequency, accuracy, and variation of formulaic sequences when investigating the use of formulaic sequences in oral texts.
These global analyses measure the gene expression of thousands of genes in a single experiment, by extracting the RNA from cells being studied.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com