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Exact(13)
Least squares means (with corresponding 95% confidence intervals) were calculated.
The study population and the reference test results were described using relative frequencies, medians, or means with corresponding ranges or SDs as appropriate.
Descriptive statistics will be used to summarise data and will be reported as numbers, proportions, medians with corresponding ranges or means with corresponding SDs.
Contingency tables were used to describe frequency distribution for categorical variables, and means with corresponding medians were calculated for continuous variables.
ANCOVA models, allowing the estimation of least squares means with corresponding 95% confidence limits, were used on untransformed Δ body weight, Δ lipids, and Δ A1C and on natural logarithm transformed AUC BG(0 6 h), and 7-point blood glucose profile, with baseline assessments as confounders.
Normally distributed continuous data will be summarised as means with corresponding SDs.
Similar(46)
Geometric means together with corresponding 95% confidence intervals (95% CI) were calculated to characterize the location and variability of the analyzed variables in the groups.
The results of multiple measurements were given as mean with corresponding standard deviation.
Categorical variables were presented as percentages, and continuous variables were presented as mean with corresponding range.
The parameters in each of the 16 neighboring base compositions can be described by a six-dimensional mean with corresponding variance-covariance matrix.
The results were expressed as the posterior mean with corresponding 95% credibility interval [CRI]) on the inverse log (OR) scale (the latter interpreted as analogous to the OR).
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