It is therefore surprising that for the CCR metric a value of 0.58 ± 0.02 is calculated, while for the PM metric a more intuitive value of 0.95 ± 0.02 is found (Table 2).
For continuous variables, mean, median and standard deviation were calculated while for categorical variables we calculated proportions.
For continuous variables, mean (SD) and median (range) were calculated while for categorical variables, proportions were used.
For measurable (quantitative) variables, arithmetic means, standard deviations, medians, as well as the range of variability (extremes) were calculated, while for qualitative variables, the frequency (percentage) was determined.
Summary statistics for age, sex, race, height, weight, body surface area, and baseline left ventricular ejection fraction were calculated; while for continuous variables, the mean, standard deviation, median, and range were determined.
Known differences in probability of disease are easily incorporated in the calculations and the PDR was calculated while accounting for regional differences in probability of disease, and also by applying equal probability of disease throughout the population.
The partial correlations between metabolic syndrome components and CRP and leptin were calculated while controlling for age, or age and BMI.
For C. piger, a ΦST of 0.027 was calculated, while the estimate for C. riparius was 0.046 (Table 2), indicating a high amount of gene-flow among sampling sites among individuals of each species.
The heritability (h) of DMFS index and PCs 1-10 were calculated while simultaneously adjusting for the effects of age, age, and sex (Table 3).
According to the MMAS-8 score (range 0 8), adherence was defined as high (score 8), medium (score 6 to < 8) or low (score < 6). 1 The proportions and frequencies for categorical variables were calculated, while means and SDs were calculated for continuous variables.
