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At main analysis, the null hypothesis of equal efficacy will be tested (two-sided test) using analysis of covariance (ANCOVA) controlled for pre-treatment scores and site.
Number of patients achieving HbA1c level <7.0%, number of withdrawals at 1-year follow-up, and number of hypoglycemic episodes were tested using the Cochran-Armitage test or trend test using analysis of variance according to baseline HbA1c levels and duration of diabetes.
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The results were statistically tested using analysis of variance (ANOVA).
The validity of the models is tested using analysis of variance (ANOVA).
The obtained linear model was statistically tested using analysis of variance (ANOVA, Studentt's t-test, residuals test, and test of curvature.
The obtained linear model was statistically tested using analysis of variance (ANOVA) and the analysis of residuals was used to investigate the model validity.
Research questions were analyzed using pearson r and R-square while the hypotheses were tested using analysis of variance (ANOVA) at 0.05 probability level.
Intervention effect was tested using analysis of covariance in which outcome measure at pretest and selected demographic variables were treated as covariates.
Research questions were analyzed using mean and standard deviation while the hypotheses were tested using analysis of variance (ANOVA) Statistics, post-hoc test and t-test analysis at 0.05 probability level.
The adequacy of the above proposed model has been tested using analysis of variance (ANOVA).
Significant effects of site and time series were tested using analysis of variance (ANOVA).
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