Your English writing platform
Discover LudwigSuggestions(5)
Exact(3)
Statistical interactions between variables were checked for all variables.
Relationships between variables were checked for linearity (between predictor and outcome variables) and multicollinearity (between predictor variables).
Collinearities between variables were checked by looking at their correlation matrix (Additional file 1), and selection between collinear variables was based on the improvement in model fit as revealed by the Akaike information criterion (AIC) values.
Similar(57)
Collinearity between variables was checked.
Colinearity between variables was checked before modeling.
In both steps, colinearity between variables was checked.
The relationship between variables was checked with a two-tailed Spearman analysis.
The linear relationship between variables was checked in separate simple regression analyses by including the quadratic term in the model.
Correlation between variables was checked and if the Pearson correlation was >0.5, we included only one of the variables in the analysis.
Correlation and interaction between the variables were checked.
Differences between independent variables were checked by t-test.
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