Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
The difference of the mean variable between the groups was tested by one-way ANOVA test and the counting variable was tested by Chi-square test.
Similar(59)
Because the GEE approach is concerned with population-averaged (i.e. the mean response) variable, we expect covariate coefficients to be greater in magnitude when the difference between the mean variable value for progression and nonprogression instances increases.
The means for variables between the two groups were compared by a two-tailed unpaired Student's t-test.
Where ANOVA showed significant mean difference, Bonferroni post-hoc multiple comparisons analysis was used to test for specific differences between two mean variables.
A direct dependency between two variables mean that the interaction between the two variables does not depend on any intermedium.
Repeated-measures ANOVA followed by post-hoc Tukey's test was used to determine differences in the means of each variable between the groups.
The means of variables between men and women were compared by two sample t-tests for continuous variables and chi-squared tests for categorical variables.
Comparison of means for variables between non-DM and DM patient groups were performed with the Student t test for unpaired data.
Independent t-tests were performed to assess differences in the means of variables between sexes and population by comparison with data from previous studies after the data were tested for normality of distribution by the Kolmogorov-Smirnov test.
Once the referred statistical procedures were applied and the conditions for the use of parametric statistics were ensured, t-test for independent measures was used to compare means of variables between groups (IL vs DC) at baseline values in all functional tests.
Latitude, longitude, and elevation plots represent differences in each response variable (mean ±95% confidence intervals) between stations where birds were captured in molting relative to breeding condition.
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