Your English writing platform
Discover LudwigSuggestions(4)
Exact(3)
Bivariate correlations between study variables were calculated by Pearson's correlation coefficients.
Bivariate correlations between study variables were calculated by Spearman's rank correlation coefficients.
Other limitations include this study's cross-sectional nature; temporal relationships between study variables were unable to be determined.
Similar(57)
The strength of relationships between study variables was estimated using standardized path coefficients.
Correlations between study variables are presented in Table 3. Results from regressions on healthy eating (i.e., vegetable consumption) and unhealthy eating (i.e., SSB consumption) are presented in Tables 4 and 5, respectively.
First, descriptive statistics and correlations between all study variables were presented.
Bivariate associations between the study variables were analysed using Spearman rank correlations.
Bivariate correlations between the study variables were calculated using Spearman's rank correlation coefficients.
Univariate associations between the study variables were estimated by calculating the Spearman rank correlation because some of the data were skewed or nonnormal.
First, the bivariate associations between MHCU and study variables were assessed (Model 1).
The relationships between overall survival and the study variables were assessed using univariate and multivariate analyses.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com