Jmp pro 11 for windows

Continuous variables were expressed as the mean ± standard deviation or as the median and interquartile range. Categorical data were expressed as numbers or proportions. We detected prognostic factors for the outcome using the subdistribution hazards model. To further prove that IDH was a prognostic factor for CLI after adjusting for confounding, a multivariate model was fitted with adjustment for sex, age, smoking and history of CVD. Non-parametric estimates of the risk of CLI incidence were calculated using cumulative incidence function with death as a competing risk. The start of time at risk was from 1st July 2012. The end of time at risk was when patients were revascularized, death or 30th Oct 2014. As for patients lost to follow-up, the exit date was the day when we could follow up. The statistical analyses were conducted using JMP Pro 11 for Windows (SAS Institute, Tokyo, Japan) and using the R version 3.5.2 (R Foundation for Statistical Computing, Vienna, Austria) for cumulative incidence function.

All of the data are represented as the mean ± standard deviation (SD). The Wilcoxon rank sum test was used to compare the differences between the two groups at each measurement point. A one-way repeated-measures analysis of variance (ANOVA) was used to evaluate the differences among the measured points. P values of <0.05 were considered to indicate statistical significance. All of the statistical analyses were performed using the JMP Pro 11 for Windows software program (SAS Institute Inc., Cary, NC, USA).