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Multivariable models were created by a backward stepwise procedure using Egret for windows.
In all of these GLM and MANOVA analyses, the non-significant covariate terms were eliminated by a backward stepwise procedure.
Final models were obtained by a backward stepwise logistic regression approach, with P = 0.10 as the critical value for entering/excluding variables in the model.
The covariates included in the multivariable Cox model were selected by a backward stepwise procedure.
We then further reduced the resulting variables (12) by a backward stepwise approach in a final combined model.
A final set of independent risk factors for HBsAg positivity among the donors was derived by a backward stepwise logistic regression model.
Similar(51)
The multivariate model in the study by Dinh et al. (3 ) was constructed by using a backward, stepwise variable selection strategy, in which variables with p<0.20 were included in the initial model.
Linear or quadratic relationships are simplified by using a backward stepwise technique.
Ten covariables were further analyzed with the Cox regression model by using a backward stepwise regression method.
Subsequently, reduced models are estimated, dropping non-significant variables by using a backward stepwise elimination procedure.
The final multivariable model was constructed by performing a backward stepwise manual selection method.
More suggestions(16)
by a backward glance
by a backward connection
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by a forward stepwise
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by a multivariate stepwise
by a backward somersault
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com