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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.
The significance level for entering an effect into the multiple logistic regression models by the stepwise method was.05.05
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.
To identify factors that independently associated with the uncommon NFGNB bacteremia, we subsequently built a multivariate logistic model by the stepwise method which is a combination of backward elimination and forward selection approaches.
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Table 1 Model variables selected for each subject by using the stepwise method based on AIC Selecteded variables AIC Subject A ((V_y, O_z, F_z)) 16.310 Subject B ((M_x, V_y, F_z)) 16.292 Subject C ((M_y, V_y, F_z)) 20.171 Subject D ((M_y, V_y, F_z)) 18.983.
The software SPSS 14.0 was used to perform a discriminant analysis by employing the stepwise method.
The three groups were compared by ANOVA; the "stepwise" method of the multiple linear regression analysis tested the model which best defined the activity of the masseter muscle in the sample at a significance level of 5%.
The relationship between the dependent and the independent variables were analyzed by a multiple regression analysis using the stepwise method.
To further improve the robustness of the assembly, we used the stepwise method defined by Paux et al [ 23] for the construction of the 3B chromosome physical map.
Cox regression analysis was applied by the backward stepwise method with CKD as the dependent variable.
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