Stata 17.0 mp parallel edition

The statistical analysis was performed with a commercially available software program (Stata 17.0 MP Parallel Edition, Stata Corp., College Station, TX, USA). Descriptive statistics, including mean and standard deviation, were carried out. The Kolmogorov–Smirnov analysis was used to check the normality of the distribution of the data. The similarity of the baseline cohort characteristics including, age, gender, RBH, and the diameter and the length of placed implants were examined using the Chi-square test. The unpaired t test was used for evaluating the RBH and ESBG between groups. The paired sample t test was used for in time group evaluations. The relationship between the RBH and ESBG was analyzed using Pearson correlation analysis. The significance level was set as p < 0.05.

All statistical analyses were performed using Stata 17.0 MP-Parallel Edition (StataCorp) or custom-written Matlab functions (Mathworks Inc). Continuous data were summarized as means and standard deviations (s.d.) and categorical data as frequencies and percentages. Evaluability was compared with a two-sample test of proportions, and under- and over-segmentation proportions using a Fisher’s exact test due to the small sample size in some cells and the paired comparison of evaluable versus non-evaluable images for the Canon and Horus devices was performed using an exact McNemar test. For all quantitative metrics, Canon segmented images were compared with those of Horus from the same eye using a Bland & Altman analysis [23 (link)], and agreement was quantified as mean difference and limits of agreement (1.96 times the s.d. of the differences). A Bradley & Blackwood (BB) test [24 (link)] was used to test the joint hypothesis of equal means and equal variances in the Bland & Altman analysis and a test of the regression of differences on sums was also performed [25 (link)]. For all statistical tests, the null hypothesis was rejected if α < 0.05.