Spss statistics ver 22.0 for windows

The sample size was determined according to the changes in MLF observed in our preliminary study using PASS 11 (NCSS, Kaysville, UT, USA), with an α level of 0.05 and a power of 80%. The results revealed that a minimum of nine patients per group was required.
Depending on the normality of data as determined by the Shapiro–Wilk test, the paired t-test or the Wilcoxon signed-rank test was used to analyze changes (T1-T0) in the cephalometric and dental arch morphology measurements and MLF within each group. The independent t-test or the Mann–Whitney U test was used to compare pretreatment variables (T0) and changes (T1–T0) in the cephalometric and dental arch variables and MLF between the two groups. Pearson's correlation analysis was used to verify the associations between dentoskeletal changes and changes in MLF. All statistical analyses were performed using IBM SPSS Statistics ver. 22.0 for Windows (IBM Corp., Armonk, NY, USA). A p-value for < 0.05 was considered statistically significant.
A high degree of reliability was found for all measurements. The mean intraclass correlation coefficients (95% confidence interval) for the cephalometric measurements, arch depth, intercanine width, intermolar width, and MLF were 0.941 (0.781 to 0.999), 0.987 (0.979 to 0.992), 0.997 (0.995 to 0.998), 0.994 (0.989 to 0.996), and 0.932 (0.890 to 0.958), respectively (p < 0.001 for all).

The groups were compared according to posterior pelvic floor disorder after being diagnosed by 3D ultrasonography and defecography. Physiologic examinations such as anorectal manometry and electromyography were also compared across groups. Differences between groups were assessed using the Student t-test for noncontinuous data and 1-way analysis of variance for continuous data. Results were considered statistically significant when P< 0.05. Cohen’s kappa coefficients were calculated to verify the agreement between 3D pelvic floor ultrasonography and defecography in detection of rectocele, enterocele, internal intussusception, and pelvic floor dyssynergia. The strength of agreement was interpreted according to the Altman classification system (< 0.20, poor; 0.21 to 0.40, fair; 0.41 to 0.60, moderate; 0.61 to 0.80, good; and 0.81 to 1.00, very good) [20 (link)]. Data were analyzed using IBM SPSS Statistics, ver. 22.0 for Windows (IBM Corp., Armonk, NY, USA).

Statistical processing was performed using IBM SPSS Statistics ver. 22.0 for Windows (IBM Corp., Armonk, NY, USA). In this retrospective study, we used propensity score matching (PSM) to equalize the covariates to reduce the selection error among the covariates. PSM matched each patient in the Billroth-II group to a patient in the GJPA group based on preoperative characteristics, including sex, age, pathological stage, and location of the tumor. Following that, the normality of our clinical data was determined by performing Kolmogorov-Smirnov tests. The form of median and interquartile range was used to express non-normally distributed data. The form of mean ± standard deviation was used to express normally distributed data. We performed the Mann-Whitney test to analyze the skewed data and used Student t-test to analyze the normally distributed data. The proportion variable was analyzed using a chi-square test or Fisher exact test. It was considered statistically significant when P-value was less than 0.05.