Jmp 11.0.0 statistical software

JMP 11.0.0 statistical software (SAS Institute Inc., Cary, NC, USA) was used for statistical analyses. Continuous variables were expressed as median (interquartile range). The Mann–Whitney U test was used to compare continuous variables between 2 groups, while Fisher’s exact test or Chi-squared test was used to compare categorical variables. Correlations between continuous variables were analyzed using Spearman’s rank correlation coefficient (ρ). The Wilcoxon signed-rank test was used to compare continuous variables before and after SOF/VEL treatment, while the Bowker test was used to compare categorical variables before and after SOF/VEL treatment. p values < 0.05 were considered statistically significant.

The χ²-test was used to investigate the associations between adverse events and RRA and DxWBS. Univariate analyses using the χ²-test or Wilcoxon/Kruskal-Wallis test were performed to assess the associations of the clinical parameters (sex, age, weight, BMI, BSA, and kidney function) with the presence of adverse events after rhTSH administration at RRA. Potential predictive variables (sex, age, weight, BMI, BSA, pathology, surgery preceding RRA, neck accumulation of ¹³¹I, kidney function, Tg-Ab, Tg_stm at ablation, Tg_stm at DxWBS, Tg_pre at ablation, Tg_pre at DxWBS, and interval from RxWBS to DxWBS) were compared between patients with complete and incomplete RRA. A P value less than 0.05 was considered statistically significant, and all analyses were performed using JMP 11.0.0 statistical software (SAS Institute, Cary, NC).

Differences in clinicopathological data were compared with the chi-square test. In the comparison between cases with recurrent disease and the recurrence-free patients, the ORs for different variables were assessed by applying a logistic regression model in univariate and multivariate analyses. The Kaplan-Meier method was used to estimate overall survival from the time of recurrence. Differences between overall survival curves were determined with a log-rank test. For both univariate and multivariate analyses, Cox regression was used to evaluate the influence of the variables on survival. All of the data were analyzed with the use of JMP 11.0.0 statistical software (SAS Institute, Cary, NC, USA). p < 0.05 was considered to indicate a statistically significant difference.