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The marked independent risk factors of mortality were identified by stepwise method of Wald's forward selection.
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Fig. 1 A stepwise method of geocoding and analyzing geographical inconsistencies of geocoded results.
A stepwise method of combining association and classification methods is needed.
A stepwise method of variable inclusion (PIN =.05 POUT =.10) was employed.
Multivariate Cox proportional hazards model by stepwise methods was performed to test the independent function of each screened prognostic variables of univariate analysis.
Those risk factors with a P value less than 0.2 in bivariate analysis were selected to enter into the multivariate model and the final model was constructed by backward stepwise method with P values of 0.1 set as the significance level for removal from the model.
Variables for multivariate analysis were selected by the Stepwise Method, using a significance level of <0.010 for entering into or remaining in the model.
The first two principal components were selected by the stepwise method and they accounted for 72.5% of the total variance in number of invasive species, indicating a significant association between biological invasion and those factors (F2, 27 = 35.54, P<0.001).
Parameters for multivariate analysis were selected by the stepwise method.
In each model, non-significant factors (p ≥ 0.05) were eliminated by backward stepwise method.
Covariates for inclusion were selected by the backward stepwise method with a significance criterion for removal from the model of P > 0.25.
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