Spss software version 19.0 for windows

Statistical analyses were performed with SPSS software version 19.0 for Windows. Results were presented as means ± standard deviations (SD), numbers, or frequencies as appropriate. Chi‐square test was used to evaluate the association between HR‐HPV infection and CIN2+. Student's t test was used to evaluate the association between age and CIN2+. Kruskal‐Wallis test was used to evaluate the association between cytology and CIN2+. Univariate analysis and multivariate logistic regression analysis were used to find the association between HR‐HPV and CIN2+. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated when risks were estimated. P value corresponded to two‐sided tests and P < .05 was considered as statistically significant.

All data are presented as means and standard deviations. The data were checked for normal distribution with the Shapiro-Wilk test and for homogeneity of the variances with the Levene test. Differences between two groups in continuous variables were examined using the Student t test for parametric data and the Mann-Whitney U test for nonparametric data. Fisher’s exact test was used to determine any association between the presence of CLBP and a history of falling in the past 12 months. Multivariate logistic regression analyses were performed to determine significant factors associated with CLBP and falls. The Pearson correlation coefficient analysis was used to evaluate the correlations between the abdominal trunk muscle strength and age, anthropometric measurements, grip power, one-leg standing time, and GLFS-25 scores. In the LBP group, the Pearson correlation coefficient analysis was used to evaluate the correlations between abdominal trunk muscle strength and VAS scores, as well as the scores in various dimensions of the JOABPEQ. The level of statistical significance was set to 0.05. SPSS software version 19.0 for Windows (SPSS Inc., Chicago, Illinois, USA) was used for all statistical analyses.

Statistical analysis was performed using SPSS software version 19.0 for Windows (SPSS Inc., Chicago, IL). Two-tailed P<0.05 was considered statistically significant. Results of continuous variables were reported as mean ± standard deviation (SD). Statistical analysis was performed using Student’s t-test between groups of two measurement data which fulfilled homogeneity of variance. For those which did not conform to the homogeneity of variance, calibration t-test was used. Categorical variables were reported as a number with percentage and chi-square test was used to compare no less than 2 groups of categorical variables and Fisher’s exact test was used appropriately. A logistic regression model was performed to identify the factors linked to the effectiveness and withdrawal of pirfenidone. For time-to-event analysis, PFS time was compared between two groups with different BMI, smoking status and DLco predicted using a log-rank test; hazard ratios were based on the Cox proportional-hazards model.

We performed a power calculation analysis to determine the number of the study population. Since compared with the previous study [7 (link),15 (link)], the gestational ages of infants were relatively older, hence to decrease the rate of intubation by 50%, about 60 infants in each group were needed to be recruited. Data were expressed as proportion, mean ± standard deviation (m ± SD) or median (interquartile range). Proportions were compared by Chi-square analysis. Continuous variables were compared by Student’s t test or Mann–Whitney U test according to their distribution. A p value <0.05 was considered statistically significant. Statistical analysis was carried out using the SPSS software, version 19.0 for Windows (SPSS, Chicago, IL, USA).

Group differences on demographic characteristics with normally distributed continuous variables (age and education) were analyzed using Student’s t-test for independent samples, and non-normally distributed continuous variables (e.g. SUR for each brain region, WCST performance and TPQ performance) were analyzed using Mann Whitney U tests. As this study was based on several multiple comparisons, results could have arisen due to Type I errors. Therefore, Bonferroni corrections were applied to reduce issues related to family-wise error rates. Given that each participant had three correlated SURs (caudate, putamen, and striatum), a multiple linear regression using the generalized estimating equation (GEE) was implemented to adjust clustering within individuals. The effects of specific factors on the SURs were assessed with an exchangeable working correlation structure.
Spearman’s rank correlations were carried out to examine the association between striatal DAT availability and the WCST and TPQ parameters. Correlations between the SURs and other parameters (e.g. age, daily alcohol intake, severity, and year of AD) were assessed using Pearson correlations. All statistics were analyzed using SPSS software version 19.0 for Windows (SPSS Inc., Chicago, IL, USA). An analysis was considered statistically significant if its associated p-value was less than or equal to 0.05 (two-tailed).