Generate Kaplan-Meier plots with risk tables and log-rank tests instantly. Plotivy handles censored data and statistics automatically.
Handling right-censored data correctly in Excel is nearly impossible. You need specialized statistical software.
Aligning a "Number at Risk" table below the x-axis in Python/matplotlib is notoriously difficult and fragile.
Calculating Log-rank p-values or Hazard Ratios requires running separate tests and manually adding them to the plot.
Upload data with 'Time' and 'Event/Status' columns.
"Plot Kaplan-Meier curves for 'Treatment'. Show risk table and p-value."
Download a publication-ready figure with statistics included.
✨ Plotivy AI uses the lifelines library to perform rigorous survival analysis.
Standard non-parametric statistic used in medical research to estimate the survival function.
Automatically generate and align "Number at Risk" tables to show sample size at each timepoint.
Automatically compare survival distributions between groups and display the p-value.
Display 95% confidence intervals (shading) around the survival curves.