Spss statistical software version 22

Continuous variables are presented with mean and standard deviation (SD) and/or with median and interquartile range (IQR). Quantitative variables are presented with absolute and relative frequencies. For the comparison of proportions, chi-square and Fisher’s exact tests were used. For the comparison of study variables between the placebo and antioxidant group the Student’s t-test was computed. Differences in changes of tinnitus parameters, antioxidant parameters, minerals, and vitamins during the follow up period between the two study groups were evaluated using repeated measurements analysis of variance (ANOVA). Variables that had skewed distribution were log-transformed for the analysis of variance. All p-values reported are two-tailed. Statistical significance was set at 0.05 and analyses were conducted using SPSS statistical software (version 22.0) (IBM, Armonk, NY, USA).

All statistical analyses were conducted using SPSS statistical software version 22.0 (IBM Corp.). The Chi-square test was applied for all categorical variables, and the Student's t-test was used to compare continuous variables between two groups. The associations between the variables were assessed by calculating the odds ratio (OD) with the 95% confidence interval (CI). Kaplan-Meier analysis was used for survival analysis, and the log-rank test was used to determine significance. A multivariate survival analysis was performed for all parameters that were significant in the univariate analyses using the Cox regression model. A P-value <0.05 was considered to indicate a statistically significant difference.

The measure data of the two groups were collected at two time points before intervention (t₁) and 8 weeks later (t₂). Taking the mean of each group and the standard deviation of the normal distribution, repeated measures of variance (two-way ANOVA) were used to observe intergroup differences, time effects, and intergroup time interaction differences. SPSS statistical software, Version 22.0 (IBM Lenovo, BJ) was used for statistical analysis. The data of 40 patients with non-fluent aphasia who completed this study were analyzed by SPSS 22.0. All the data of the intervention group and the control group were collected before (t1) and after the intervention (t2). Before analysis, basic frequencies were run on the data to screen for missing values and outliers and to establish data entry accuracy. Data were analyzed using a repeated-measures ANOVA to determine the specific effects of the interventions.

SPSS statistical software version 22.0 (IBM, Chicago, IL, USA) was used to analyze the data. For the in vitro assays, data were expressed as the mean ± standard deviation from 3 independent experiments. An unpaired t test was applied to compare the unpaired data between two groups. Data among multiple groups were compared using one-way or two-way analysis of variance (ANOVA), with a Tukey's test conducted for a post hoc test. In all cases, differences were considered statistically significant at p < 0.05.

First, we compared the onset of allergic diseases between infants with and without a family history of AD using the Chi square test. Next, univariate analyses for food allergies or AD/eczema until 2 years of age and the characteristics of the infants’ skin problems were performed using the Chi square test or Student’s t-test.
Possible long-term effects of the previously-described RCT intervention on the development of subsequent outcomes (food allergies or AD/eczema) were analyzed using the Chi square test in intention to treat and per protocol analyses (applying emollient more than 0.7 times per day from 0 to 3 months of age).
Lastly, the relationship between skin problems from 0 to 3 months of age and food allergies or AD/eczema until 2 years old was assessed using multiple logistic regression analysis. The analysis was adjusted for the effects of variables found to be associated (p < 0.1) with the presence of diaper dermatitis in the univariate analysis.
The statistical analyses were performed using the SPSS statistical software version 22.0 (IBM Corp., Armonk, NY, USA). All p-values were two sided, and a p-value < 0.05 was considered statistically significant.