Spss version 22.0 for windows xp

Data in this study are presented as the mean ± standard error. For continuous variables, we adopted the independent t-test to compare the differences between KD and FC. Hemoglobin references vary among ages [31 (link),32 (link)], and we used the reference for hemoglobin versus age [32 (link)]. The z-score of hemoglobin was corrected for age, and the standard deviation was included to execute the calculation [33 (link)]. The z-score is positive if the value is higher than the mean and negative if it is lower. We used the area under the receiver operating characteristic (auROC) curve to differentiate the parameters used to predict KD or FC. The best possibility of a cut-off value was declared using Youden’s Index. Meanwhile, we used the univariate or multivariate logistic regression model to identify significant independent markers for KD. All statistical analyses were conducted using SPSS version 22.0 for Windows XP (SPSS, Inc., Chicago, IL, USA). The two-sided p-value less than 0.05 was considered statistically significant in this study.

We have presented all data as mean ± standard error. The chips that passed the quality control criteria were analyzed with Partek (Partek, St. Louis), commercial software designed specifically to analyze microarray data. Using Partek, we conducted ANOVA analysis and reported the p-values of the comparisons of interest as previously described [13 (link)].
We applied Student’s t-test or one-way ANOVA, as appropriate, to analyze the quantitative data. Furthermore, we evaluated any data changes before and after IVIG treatment with the paired sample t-test. All statistical analyses were carried out using SPSS version 22.0 for Windows XP (SPSS, Inc., Chicago, USA), and a two-sided p-value less than 0.05 was considered statistically significant.

All data are presented as mean ± standard error. We analyzed quantitative data with Student’s t-test or, when appropriate, one-way ANOVA; we evaluated any data changes before and after IVIG treatment using the paired sample t-test. A two-sided p-value less than 0.05 is considered statistically significant. All statistical analyses were performed using SPSS version 22.0 for Windows XP (SPSS, Inc., Chicago, USA).