Jmp version 11.0 for windows

To examine whether PFS or PPS was correlated with OS, we used Spearman rank correlation analysis and linear regression analysis. To identify possible prognostic factors for PPS, a proportional hazards model with a stepwise regression procedure was applied. Hazard ratios (HR) and 95% confidence intervals (CI) were estimated using this model. Because the HR is defined for a 1-unit difference, some factors were converted to an appropriately scaled unit. PPS values were compared using the log-rank test. A p value of ≤0.05 was considered significant for all tests. The two-tailed significance level was also set at 0.05. All statistical analyses were performed using JMP version 11.0 for Windows (SAS Institute, Cary, NC, USA).

Fisher's exact test was applied to analyze categorical variables. PFS was calculated from the beginning of S‐1 monotherapy until PD or death from any cause, and OS was recorded from the first day of treatment until death, or was censored on the date of the last follow‐up. The survival curves were calculated using the Kaplan–Meier method. The Cox proportional hazards regression model using the stepwise method was adjusted to identify factors associated with PFS and OS and to calculate the hazard ratios and their 95% confidence intervals (CIs). P‐values <0.05 were considered statistically significant for all tests. The two‐tailed significance level was also set at 0.05. AEs that were associated with S‐1 monotherapy were graded in accordance with the Common Terminology Criteria for Adverse Events (CTCAE) version 4.0. All statistical analyses were conducted using the JMP version 11.0 for Windows (SAS Institute, Cary, NC, USA).