# 27-Jul-2022 Analyse-it v6.10: Survival Analysis and other improvements

We’re happy to announce a couple of major additions to the Analyse-it Ultimate edition: Kaplan-Meier survival curves and Cox’s proportional hazards survival model. There are also improvements for users of other editions.

If you have you can download and install the update now, see: or visit the . If maintenance on your license has expired, you can renew it to get this update and forthcoming updates, see . If you already have another edition of Analyse-it, you can upgrade to the Ultimate edition for just the difference in cost, see .

describe and visualize time-to-event data. They are often used in survival and reliability analysis to model time to death or time to failure of a component. You can visualize multiple survival functions, with confidence bands, and test for differences between them. In addition you can describe the key quantities such as the area under the curve or the quantiles.

Example of multiple Kaplan-Meier survival curves:

model time-to-event data (survival/reliability analysis). They do not rely on estimating a survival function, but instead estimate the hazard ratios of covariates. We have added proportional hazards to the Analyse-it Fit Model analysis so you can include multiple categorical/continuous covariates and complex interaction terms. The analysis report include everything you’d expect: parameter estimates and confidence intervals, covariance matrix, likelihood ratio and Wald test of the contribution of each term, hazard ratios for each term, and the baseline survival function and plot.