Your English writing platform
Discover LudwigSimilar(60)
As no significant internal correlations were found between variables, all variables were used in multivariate analysis.
*Significant variables investigated in multivariate analysis.
To avoid any 'data-driven' categorisation, numerical variables were entered in multivariate analysis as continuous variables.
These variables were included in multivariate analysis with time-to-graft-failure as the dependant variable.
These variables were included in multivariate analysis.
Adding variables in multivariate analysis made this effect disappear.
The sensitivity analysis, including all variables that were significant in the univariate analysis with no variable selection in the multivariate step, was consistent.
A sensitivity analysis was performed, including all variables that were significant in the univariate analysis with no variable selection in the multivariate step.
A stepwise variable selection was performed with Akaike Information Criteria in multivariate analysis.
Variables that showed a significant association with survival were included in multivariate analysis based on the Cox proportional hazard model with a stepwise method (forward selection).
It can also result from missing variables and unobservable measurement errors in multivariate analysis [6].
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