Spss v23.0 statistical

SPSS v23.0 statistical software was used for data analysis and processing. Genetic association analysis was performed using the Plink software (Purcell et al., 2007 (link)). Principal Component Analysis (PCA) was performed by using Smartpca software. After adjusting different numbers of eigen vectors, Q-Q (quantile-quantile) plot and inflation factor were used to evaluate the impact of population heterogeneity on the association results. Association analyses were implemented by using logistic regression under the additive assumption. Manhattan plot was depicted by using R software. Expression Quantitative Trait Locus (eQTL) analyses were implemented in GTEx database. Multiple tests were adjusted by the False Discovery Rate (FDR) method and FDR-P < 0.2 was used as the criteria of significance.

SPSS v23.0 statistical software was used for statistical analysis. Data on age and follow-up duration are expressed as x ± s. Differences in IOP before and after the treatment were compared using the paired-samples t-test. P < 0.05 was considered to indicate statistical significance.

The study was designed to answer another question, but the collected data were used here to address the current questions. SPSS v23.0 statistical software was used to conduct statistical analysis. The descriptive statistics for continuous variables were presented as the mean (M) and standard deviation (SD), and the count data were described by prevalence (%). Pearson’s correlations were conducted on maternal anxiety and depression symptoms, parenting style, and behavioral problems in children with ASD. Multiple linear regression was used to determine if parenting style moderated the associations between mothers’ anxiety or depression symptoms and behavioral problems in children with ASD. We added mothers’ anxiety or depression symptoms and the parenting style in the first step, and the interaction of mothers’ anxiety or depression symptoms and the parenting style in the second step. All regression analyses included children’s gender and age, family income, and maternal education as covariates in the third step. Standardized regression coefficients presented all betas, and the significant level was p < 0.05. A simple slope analysis was conducted using the Process 2.16 macro plug-in of SPSS 23.0.