Your English writing platform
Discover LudwigSimilar(60)
Variables with a p value < 0.15 in these tests were used for multivariate model building.
Variables that were significant on univariate analysis were incorporated into a linear regression model (forward, stepwise variable entry) for multivariate analysis of factors influencing the items to evaluate postoperative urinary and sexual QoL over time.
Variables shown to be associated with AD in univariate analyses, with p < 0.1, were entered into logistic regression models, using forwards and backwards stepwise variable entry.
We used a multivariate logistic regression model, with stepwise variable selection, to determine predictors for SVR.
Multivariate logistic regression with stepwise variable selection was then performed on the significant variables found in the univariate analysis.
In evaluating factors affecting OS, the Cox regression model with stepwise variable selection was used for multivariate analysis.
The statistical approach for model building was forward stepwise variable selection, with a criterion of p<0.01 for variable inclusion.
Based on this model, building procedure explanatory variables with p < 0.20 were selected for the multivariate model.
Of all the methods, ordinary least square regression with stepwise variable selection has been most frequently used for building models between field measurements and ALS metrics [16].
Of all the methods, ordinary least square regression with stepwise variable selection has been most frequently used for building models between field measurements and ALS metrics [ 16].
The multivariate model was reduced stepwise and variables with a P-value of <0.1 were kept in the final model.
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