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We estimated 3-year weight trajectories using growth curve analyses, grouped similar trajectories into four categories using cluster analysis, compared category characteristics, and predicted year-4 above-goal A1C and blood pressure by group.
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We found no significant differences between the compared categories with respect to fasting and smoking.
Meta-analyses were conducted using studies that compared categories of GI or GL intake to produce risk estimates and presented results separately by menopausal status.
For the latter set, we compared categories of confirmed COPD vs. unconfirmed COPD to identify the 3 most individually discriminating covariates.
Results from the three independent runs were combined, and weighted posterior rates of individual branches within each of the compared categories were extracted.
The Student t-test and the Wilcoxon rank-sum test were used to compare category means.
When comparing categories across devices, 'Games' and 'Entertainment' applications appear to be even more popular on the iPhone than on the iPad: 70% of the most popular apps on the iPhone are published in either of those two categories, compared to 40% on the iPad.
There were insufficient numbers to compare categories of differing study design, degree of verification, and smear status.
The Wald test p-value was used when comparing categories with the reference category.
T-tests, ANOVA (Tukey Kramer post hoc test) and Walds χ were used to compare categories.
Thereafter the researchers met to examine their set of analyses to compare categories and identify overarching themes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com