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Multiple analysis was performed with LIMMA package in R computing environment (Smyth 2004).
The multiple analysis was undertaken by taking into consideration all the prognostic factors examined in univariate analysis.
A binary logistic regression model for multiple analysis was used to analyze the significance of pretreatment factors for the choice of primary treatment.
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Multiple analysis is a basic tool for developing a risk model [ 22– 22].
To evaluate the influence on the ITVs and the ISQ values among multiple factors, multiple regression analysis was performed.
Multiple regression analysis was also used to test for the effect of multiple ADAM33 markers on psoriasis.
Multiple regression analysis was performed using SPSS 22.
A hierarchal multiple regression analysis was conducted.
Hierarchical multiple regression analysis was employed.
Multiple regression analysis was used to find independent predictors.
Subsequently, multiple alignment analysis was performed with DNAMAN 6.0 software.
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