Statistical analysis system version 9

The primary end point was OS, defined as time of diagnosis until death by any cause. Survival curves were calculated according to Kaplan-Meier. Between-group differences were evaluated using the logrank test for evaluating differences in OS. Cox proportional hazard modelling was used to identify significant risk indicators for OS. In this modelling, adjusted hazard ratios (HR adj ) for OS with 95% confidence intervals and P values were calculated.
A two-tailed P value <0.05 indicated statistical significance. All analyses were performed using commercially available computer software (Statistical Analysis System version 9.4, SAS Institute, Cary, NC, USA).

In order to assess the associations of lifetime mental disorders, personality traits and ETE prior to the FU period with pain status at the end of the FU period, four serially adjusted generalized linear mixed models were used. These models were all adjusted for sex, age, education, duration of FU, FU interval (FU1 to FU2 or FU2 to FU3), medication in the end of the interval and intra-personal correlations. In Model 1, only non-chronic pain (for analyses on the incident of CP) or location of CP (for analyses on the persistence of CP) reported in the beginning of the interval were entered. In Model 2, lifetime depression (current or remitted) and anxiety disorders (agoraphobia, panic disorder, generalized anxiety disorder, social phobia) were added. In Model 3 ETE and in Model 4 the personality scores Neuroticism and Extraversion were added. In order to assess the association between potential psychological predictors and the persistence of CP, an additional fifth model was run, which also adjusted for analgesic medication at the beginning of the interval.
The results of all the tests were considered as significant at the level of p <0.05.
Statistical analyses were computed using the Statistical Analysis System, version 9.4 (SAS Institute, Inc., Cary, NC, USA).

Differences in gene expression and development were analyzed by least-squares ANOVA of the ΔCT values using the GLM procedure of the Statistical Analysis System version 9.4 (SAS Institute Inc.). Replicate and treatment were included as main effects in the model.

The analysis was performed using the intention-to-treat method. For comparisons of subject characteristics between groups at baseline, Student's t test was performed for continuous variables. The chi-square test or Fisher's exact test was performed for categorical variables. Intergroup comparisons of compliance were analyzed by Student's t test. To analyze the differences between groups according to the intake period and for group comparisons before and after the intake period, evaluation variables were calculated from a linear mixed-effect model in consideration of group, time (week), and the group × time interaction (group × week). Correlations between biomarkers were analyzed using Spearman's method. Statistical analysis was performed using Statistical Analysis System (Version 9.4; SAS Institute, Cary, NC, USA). Statistical significance was set at p < 0.05.