Spss statistics ver 18

The Friedman test was used to evaluate the effect of GH therapy. The Wilcoxon signed rank test was used to compare the changes between pre- and post-GH therapy. The relationships between the genotypes of subjects and growth parameters, including bone age, height SDS, GV, and serum IGF-1 and IGFBP-3 levels were assessed by the Mann-Whitney U test. Statistical analyses were conducted using IBM SPSS Statistics ver. 18.0 (IBM Co., Armonk, NY, USA). P<0.05 was considered statistically significant.

All statistical analyses were performed by using IBM SPSS Statistics ver. 18.0 (IBM Co., Armonk, NY, USA) and the R program (R Foundation for Statistical Computing, Vienna, Austria). The χ² test and Student's t-test were used for comparisons between the two groups. PSM was performed by using the MatchIt package in the R program (R Foundation for Statistical Computing). The propensity scores were estimated by running a logit model, and the nearest neighboring matching algorithm was applied with a caliper of 0.01. A P-value of <0.05 was considered statistically significant.

Frequency analyses were performed with SPSS Statistics ver.18.0 (IBM; Armonk, NY). Data were shown by descriptive statistics with frequencies and percentages. For ease of interpretation, the scores were classified into 5 levels: extreme high level (score 10), high level (7∼9 scores), moderate level (4∼6 scores), low level (1∼3 scores), and extreme low level (score 0) level. The mean score was calculated by the following formula: $\frac{\left\{10\times \left(NRS10\right)\right\}+\left\{9\times \left(NRS9\right)\right\}+\dots \{2\times \left(NRS2\right)\}+\{1\times (NRS1)\}}{sumofallrespondents}$ NRS X: number of respondents for score XThe results were reported according to the STROBE guideline.

Multiple logistic regression analysis was performed to assess the influence of job satisfaction on depression using odds ratios and 95% confidence intervals. Due to the sex-dependent prevalence of depression,20 (link) participants were divided into male and female groups. The dependent variable was the presence of depression, and initially, a crude model was analyzed using only job satisfaction as the independent variable. In the second model, sociodemographic and health-related factors were included as covariates, and in the third model, work-related factors were included. In the final analysis, all previously included variables and satisfactions with 6 other domains of life were combined. The analysis was conducted using IBM SPSS Statistics Ver. 18.0 (SPSS Inc., Chicago, IL, USA).

Analysis of demographic and clinicopathological characteristics was performed using descriptive statistics. Quantitative variables are reported as mean and standard deviation and qualitative variables are reported as frequency and percentage. Comparisons between groups were performed using the chi-square test for qualitative variables and two-sample t-test with normality for quantitative variables. All tests were two-sided and p values less than 0.05 were considered statistically significant. IBM SPSS Statistics ver. 18.0 (IBM Co., Armonk, NY, USA) was used for multivariate analysis.

All data are expressed as the mean ± standard deviation (SD). SPSS Statistics ver. 18.0 (SPSS, Chicago, IL, USA) was used for data analysis. Comparisons of different groups were performed by Student’s t-test or one-way analysis of variance followed by Tukey’s post hoc test or Dunnett’s T3 post hoc test. P-values < 0.05 were considered statistically significant.

Data are expressed as follows: means±standard deviation. Experiment was done three times independently. Statistical analysis for data was done with analysis of variance (SPSS Statistics ver. 18.0; SPSS Inc., Chicago, IL, USA). p-values of <0.05 was considered statistically significant.