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To analyze factors associated with misdiagnosis a multivariate analysis was made using a multiple linear regression with diagnostic category as the dependent variable.
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To study the independent significance of MetS and DM for clinical outcome, multivariate analysis was made using an optimizing stepwise procedure based on the Bayesian approach.
Multivariate analysis was made using Cox-hazard model analysis.
Data analysis was made using Relative Expression Software Tool (REST©).
Analysis was made using StepOne software v2.0.
First, a multivariate analysis was made to examine the diversity of Tessekre's population.
In the analysis, comparisons were made using chi-squared and t-test methods as well as logistic multivariate regression models.
Statistical comparisons between categorical variables were made using the chi-square test for univariate analysis followed by multivariate regression.
Comparisons of survival curves were made using the log-rank test and multivariate analyses were done using the stepwise Cox regression analysis.
Comparisons were made using t tests, the Wilcoxon signed rank test and multivariate regression analysis as appropriate using Stata 2007.
Comparisons of metastasis-free survival by positive status were made using the Kaplan Meier Log Rank test and Cox Proportional Hazards models were used for the multivariate analysis.
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