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Optimum levels of the significant variables were determined by using a central composite design.
Differences between variables were determined by using analysis of variance (version 15.0 SPSSS for Windows, Chicago, IL, USA).
After Kolmogorov-Smirnov test and owing to small sample size, statistical differences between quantitative variables were determined by using one-way analysis of variance (non-parametric Kruskal-Wallis test) with Dunn's post hoc testing for pairwise multiple comparisons.
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Proper selection and pairing of controlled and manipulated variables are determined by using steady-state analysis.
Statistical significance of continuous variables was determined by using a non-parametric test (Mann-Whitney U test) and categorical variables were determined using the Fisher's exact test.
The association of survival with each variable was determined by using the log-rank test.
Statistically significant differences in normally distributed variables between two groups were determined by using the Student's t test.
Proper selection and pairing of controlled and manipulated variables chosen for three control objectives were determined by using steady-state analysis.
Morphometric variables were determined by image analysis, using an IBM computer (IBM Computer, Inc.; Armonk, NY).
Relationships among continuous variables were determined by bivariate linear regression.
Relationships between variables were determined by simple linear regression analysis.
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