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Ten covariables were further analyzed with the Cox regression model by using a backward stepwise regression method.
Model simplification was performed using a backward stepwise algorithm.
Linear or quadratic relationships are simplified by using a backward stepwise technique.
Further analysis for associations between substance use disorders and variables in Table 1 was done using a backward stepwise multivariate logistic regression analysis.
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].
We tested the lag time between temperature, rainfall, and HFMD by including lag terms 1 2 and 3 4 weeks using a backward stepwise model fitting procedure.
To identify independent predictors for time to death, we entered all significant variables from the univariate analysis into a Cox regression model using a backward stepwise approach.
Variables with p<0.1 were then included in a multivariate regression model and removed using a backward stepwise process if their significance was not retained, until all remaining variables had p<0.05.
The model was optimized using a backward stepwise regression.
Variables were selected using a backward stepwise process.
More suggestions(15)
using a manual stepwise
using a backward difference
using a backward reduction
using a backward induction
using a backward selection
using a backward sequence
using a backward regression
using a backward recursion
using a backward masking
using a backward reasoning
using a multivariate stepwise
using a backward exclusion
using a backward emulator
using a backward elimination
using a backward method
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