Your English writing platform
Free sign upSuggestions(1)
Exact(1)
Variables with a p-value of 0.20 or less from the chi-square analyses were included in each separate regression model, utilizing a backward stepwise selection process whereby the variable with the highest p value was removed until all predictors in the model had a p value less than.01.
Similar(59)
We used a backward stepwise feature selection method that utilizes the alignment to the HMM profiles based on recursive feature elimination (RFE) algorithm, termed HMM RFE (Guyon et al., 2002).
Model simplification was performed using a backward stepwise algorithm.
Linear or quadratic relationships are simplified by using a backward stepwise technique.
Multivariable models were created by a backward stepwise procedure using Egret for windows.
The final discriminant function was obtained using a backward stepwise variable selection procedure.
We developed the multivariate model using a backward stepwise regression analysis [23].
Starting with the saturated model, a backward stepwise procedure was used, removing any term with P>0.05.
A backward stepwise regression was performed.
We used a backward stepwise approach.
The model was optimized using a backward stepwise regression.
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