QuickStats

Cox Regression & Survival Analysis Online

✓ Free   ✓ Kaplan-Meier curves   ✓ Schoenfeld residuals   ✓ Fully private

Fit a Cox proportional hazards model on your own time-to-event data, directly in your browser. QuickStats reports hazard ratios with 95% confidence intervals, draws Kaplan-Meier survival curves, tests the proportional hazards assumption with Schoenfeld residuals, and reports model concordance — using R's gold-standard survival package compiled to WebAssembly.

Open the survival analysis tool →

How it works

  1. Upload your dataset (CSV, Excel, Stata, SPSS, SAS) — it needs a follow-up time variable and a two-level event indicator.
  2. Select the event variable as the outcome, Cox regression as the model, and the time variable — any coding works (0/1, died/alive, yes/no).
  3. Tick predictors and fit. Hazard ratios, CIs, and p-values appear in a journal-ready table.
  4. Review plots and diagnostics: forest plot, Kaplan-Meier curve stratified by any predictor, Schoenfeld residual tests, concordance.

What you get

Tip: the built-in clinical trial example dataset includes survival outcomes (followup_months, cv_event), so you can try the full survival workflow before uploading your own data.

Frequently asked questions

What does my dataset need?
A numeric follow-up time and a two-level event indicator. QuickStats codes the event automatically and names the level it treats as the event.
Does it check proportional hazards?
Yes — Schoenfeld residual tests for each predictor and globally, in the Diagnostics tab.
Can it draw Kaplan-Meier curves?
Yes, stratified by any predictor, with confidence bands.
Is my data uploaded?
No — everything runs in your browser. How the privacy guarantee works.

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