Spss software package version 25

At this stage, the height and weight status data as well as children’s demographic data were entered into SPSS software package version 25.0 (SPSS Inc., Chicago, IL, USA) to analyze statistically, and then the report of results was written.

For statistical analysis, the SPSS software package version 25.0 (SPSS Inc., Chicago, IL, USA) was used. The acceptable error threshold was p = 0.05. The normality of the quantitative data was verified with the Kolmogorov–Smirnov test. In order to describe the continuous quantitative data with normal distribution, the arithmetic mean and the standard deviation (SD) were used, or median, first quartile (q1) and third quartile (q3) for data with distribution. Qualitative data were described using absolute and relative frequencies. Student’s t test for independent samples was used to verify the significant difference between means for quantitative data with normal distribution and a non-parametric Mann–Whitney U test, where necessary. A chi-square test was used to check the association between qualitative data and to quantify the effective size of association, a 95% confidence interval (CI) for OR was calculated.

Metric data is presented as mean values and standard deviation. The minimum level of significance was set at P ≤ .05. The mean RRS value approximately 12 months postoperatively was set as primary outcome parameter.^{18 (link),19 (link)} Previous examinations showed mean RRS values of 8.2 ± 1.2 for precontoured LCP and 6.3 ± 1.7 for conventional implants after 66.1 and 62.3 weeks in age-pooled cohorts.^{17 (link)}
Based on a probability of less than 5% for type I error and a power of 80%, the sample size was calculated to be 13 per group. Intra- and interrater reliability of the Rasmussen Radiological Score was analyzed in a subset of 15 consecutive cases based on 2 different runs with an interval of 3 months and 2 different raters (WCP and JF). The intraclass correlation coefficients (ICCs) were calculated based on two-way-mixed effects. Further statistical analyses were performed using parametric and nonparametric tests. The Mann–Whitney U Test and the Student’s t-test were used for interval and ratio scaled data. For nominal or ordinal categories, the χ² test or the Fisher’s exact test in case of singular low frequencies were applied. Statistical analysis was conducted with the SPSS software package version 25.0 (SPSS, Chicago, Illinois, USA).

Statistical analysis was performed using the SPSS software package version 25.0 (SPSS, Chicago, IL). Differences between means were calculated using analysis of variance (ANOVA) and paired samples t-test.