Spss for macintosh version 25

The sample size was estimated for a prespecified power of 90%, while the α value was set at <.05. The clinical characteristics of the participants and all hypospadias parameters will be presented descriptively. Intrarater and interrater analyses among pediatric urologists will be performed, using the Fleiss κ statistical analysis. The κ score between the ANN results and pediatric urologists’ examination results will be calculated by using SPSS for Macintosh, version 25.0 (IBM Corporation). The data will be deemed statistically significant if the P value is <.05. In addition, accuracy, precision, recall, and F₁ score values will be computed to measure the performance of the recognition model.

All statistical analyses were performed using IBM SPSS for Macintosh, version 25.0 (Armonk, NY: IBM Corp). Continuous non-normal distributed variables were reported as median (IQR), with differences between the two groups assessed using the Mann-Whitney U-test and three groups using the Kruskal-Wallis test with a post-hoc Dunn-Bonferroni test. Dichotomous variables were presented as frequencies and percentages, with differences between groups assessed using the Chi-squared test. Associations of independent variables and the primary outcome were assessed through logistic regression and presented as odds ratios (ORs) with 95% CIs. Variables with statistically significant associations to the primary outcome on univariate logistic regressions were included in the multivariable logistic regression model. Before logistic regression, the variable of total serum IgE- concentrations was dichotomized and the patients allocated to either above or below maximum reference intervals according to age-specific cut-offs (Supplementary Table 1).

All statistical analyses were performed in IBM SPSS for Macintosh, version 25.0 (Armonk, NY: IBM Corp). Continuous non-normal distributed variables were reported as median (min–max), and differences between groups were assessed using the Mann–Whitney U-test. Dichotomous variables were presented as frequencies and percentages, and differences between groups were assessed using the Chi-squared test. The percentage difference in HCC between months 4–6 and 0–3 was calculated by dividing the value of HCC 4–6 months with the value of HCC 0–3 months. The values of HCC at month 0–3 and 4–6 were logarithmised before further analysis. The effect of HCC levels, at 0–3 months, 4–6 months, and the percentage difference in HCC, on (a) appendicitis and b) complicated appendicitis, were measured through univariate and multiple logistic regression and reported as odds ratios (OR) with 95% confidence intervals (95% CI). Independent variables included in the multiple regression analyses were age, sex, and any other significant (p < 0.05) variable from the univariate analyses.

All data analyses were performed using Statistical Package for Social Science Statistics IBM SPSS for Macintosh, version 25.0 (IBM Corp., Armonk, N.Y., USA). Descriptive data are expressed as mean and standard deviation. Comparisons between the CF and non-CF control were conducted using the independent sample t-test. In the CF group, one-way analysis of variance (ANOVA) was used to assess differences in PFTs and gut microbiota composition across the three vitamin D subgroups (i.e., deficiency, insufficiency, and optimal). The correlations between 25(OH)D status and PFTs, or gut microbiota composition, and PFTs with gut microbiota composition were analyzed using the Pearson's correlation coefficient (two-tailed) test. A P-value <0.05 was considered significant in all tests.