Spss version 22.0 windows

Statistical analyses were performed using SPSS version 22.0 Windows (SPSS, Inc., Chicago, IL, United States). All baseline and post-intervention data are presented as mean ± standard deviation (SD) and were initially confirmed to be normally distributed by using Bartlett’s and Levene’s tests. Homogeneity of variance was tested before further statistical analyses. Thus, no transformation was required.
Independent samples t-test and paired t-test were used to examine difference between the two groups at baseline and the differences within groups following the intervention, respectively. Between-group differences following the intervention were analyzed using a two-way repeated measures analysis of variance [time (pre vs. post) — group (TRT vs. FRT)]. When the significant interactions were found, the independent samples t-test was applied to determine inter-group differences. A value of p of <0.05 was considered statistically significant.
For main parameters, mean difference in change (pre – post-interventions) for the two groups are reported, and the respective effect sizes calculated as partial eta square converted to Cohens d, being classified as “small” from 0 to 0.2 “medium” from 0.2 to 0.8, and “large” if higher than 0.8 (Cohen, 1992 (link)).

All statistical analyses were applied in SPSS version 22.0 Windows (SPSS Inc, Chicago, Illinois). A two-tailed P-value <0.05 was considered statistically significant. Categorical variables are presented as numbers and percentages and were compared by use of the chi-square test and Fisher’s exact test. Continuous variables are expressed as mean ± SD and were compared normally distributed variables with Student’s t-test and nonnormally distributed variables with the Wilcoxon rank-sum test. Multivariable logistic regression analyses were performed for all the variables that were statistically different in the univariate analysis to identify the independent risk factors of diagnosis BAV in the study population.