For analysis, difference waves were produced by subtracting pre-sleep from post-sleep SPs.
For quantitative analysis, differences between means were identified using the Wilcoxon rank test for independent variables.
For descriptive analysis differences in proportions between caregivers and adults patients were tested using cluster adjusted chi-square test.
For every analysis, differences in mean total cost and mean QALY data were bootstrapped (1,000 repetitions) adjusting for minimisation variables as well as baseline EQ-5D score [ 33].
For behavioral analysis, differences between groups were examined using two-way repeated measure analyses of variance (ANOVAs) followed by post hoc Bonferroni tests.
A one way ANOVA in combination with post hoc comparisons by use of Least Square Difference (LSD) was used for analysis of differences between the different groups.
For all statistical analysis, differences were considered to be statistically significant at p < 0.05.
For all statistical analysis, differences were regarded to be significant if p < 0.05.
Kaplan Meier curves were plotted from overall survival data, and the log-rank test was used for analysis of differences between patients with different level of Rad51 expression.
PPI data were analyzed using multivariate analysis of variance (MANOVA) followed by least significant difference (LSD) post hoc pair-wise comparisons for analysis of differences between groups.
