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The model was determined using backward stepwise methods.
Backward stepwise methods were used to build the multivariate model.
The independent predictors of SVTE were identified by the forward and backward stepwise methods with inclusion and exclusion P values <0.05.
Variables will be included in the initial logistic model if they have a p value of 0.2 or less on univariate analyses, with backward stepwise methods used to exclude variables with a p value of 0.10 or more on the likelihood ratio test.
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We performed multivariate analysis using a binary logistic regression test for risk of BPAR and the Cox regression test for risk of graft loss, respectively (backward stepwise method).
The backward stepwise method (Wald) was used.
The backward stepwise method was used to create the models.
Multivariable analysis was performed using backward stepwise method.
On multivariable analysis, backward stepwise method was used.
A backward stepwise method was used to remove nonsignificant terms.
The backward stepwise method was used in the multivariate analysis base on the likelihood ratio statistics.
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