Sentence examples for most quantitative variables from inspiring English sources
For most quantitative variables, categories of self-reported MWS data were characterised by distinct means of the corresponding measured values.
Since distributions of most quantitative variables were significantly different from normal distribution (p < 0.05, Shapiro-Wilk test), we used non-parametric tests.
Overall agreement between the studies was also good for most quantitative variables, although all exhibited both random and systematic reporting error.
Since distributions of most analyzed quantitative variables were significantly different than normal distribution (p < 0.05, Shapiro Wilk test), the nonparametric Mann–Whitney U test was used for comparisons between groups.
Most other quantitative variables had RDRs in the range 0.66-0.86, consistent with slight to moderate attenuation, with the exceptions of age at menarche (RDR = 0.44, 0.33-0.55), birth weight (0.59, 0.50-0.67) and waist-to-hip ratio (0.50, 0.35-0.66), for which more substantial attenuation is likely.
TLF was most correlated with quantitative variables of liver function (albumin, bilirubin), including independent correlation to the recent ALBI composite scoring system.
Euclidean distance was used for measuring similarity between pairs of sub-watersheds, and Ward method was chosen as a clustering technique, which is based on mutually exclusive subsets of the data set and is most appropriate for quantitative variables (Ward 1963).
We found RDRs consistent with slight to moderate attenuation of estimates of disease-exposure associations (RDRs 0.66-0.86) for most quantitative anthropometric and reproductive history variables.
The most commonly used techniques for investigating the relationship between two quantitative variables are correlation and linear regression.
The quantitative variables were measured in terms of the most common Chinese measure, the liang (equivalent to 50 g).
Though this is consistent with most of the previous studies in help seeking, we feel these quantitative variables might not be able to capture the true determinants.
