Your English writing platform
Discover LudwigExact(25)
Multivariate modeling was performed using conditional logistic regression with a backwards stepwise elimination procedure.
Variables were analysed using binary logistic regression analysis utilising the backwards stepwise elimination method.
Models were developed by backwards stepwise elimination beginning with the variables listed in Table 1.
Model selection was performed using backwards stepwise elimination of non-significant variables (p value >0.05).
Backwards stepwise elimination was used to find the minimal model with support from the experimental data.
aVariables were analysed using Cox proportional hazards regression model utilising the backwards stepwise elimination method.
Similar(35)
I performed model selection using backward stepwise elimination.
A Selection of the reduced models examined during the backwards-stepwise elimination process is described in the following (only changes from the initial model are noted): 1.
The associations between background and behavioural decisions on ANC attendance and perinatal outcomes were explored using univariate analysis and multivariate logistic regression models with backwards-stepwise elimination.
A process of backwards-stepwise elimination was used, with variables with a p-value greater than 0.05 excluded from subsequent model(s).
Beginning with an initial model and then maintaining the four parameter logistic function for f, backwards-stepwise elimination was used to reduce the number of parameters describing g(t) and h.
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