A survival curve without code
Enter your time-to-event data (follow-up time, whether the event occurred or the participant was censored, and an optional group), and the curve renders with a Greenwood 95% confidence band, numbers at risk underneath, and a log-rank test when you compare groups. Results are validated against R's survival package.
What you get with the curve
- Kaplan-Meier estimates with Greenwood confidence bands
- Numbers at risk at each time point
- A life table for your appendix
- The log-rank test across two or more groups
- A cumulative-incidence view of the same data
- Median survival, reported the way R reports it
Adjusted analysis, same place
When the unadjusted curve is not enough, Cox proportional hazards regression sits in the same statistics suite and returns hazard ratios with confidence intervals. If you are pooling published hazard ratios across studies instead, the meta-analysis tool takes an HR with its CI directly.
An honest note
Time-varying covariates, competing-risks regression, and parametric survival models are not here; R and Stata remain the tools for those. For the standard Kaplan-Meier figure, the log-rank comparison, and a Cox model, the browser does it free.