Check proportional hazards, residual patterns, and influential observations fast. Compare risk scores across subjects confidently. Make survival diagnostics clearer for decisions, audits, and reporting.
Use the responsive grid below. It shows three columns on large screens, two on small screens, and one on mobile.
This example is already loaded into the textarea.
| ID | Time | Event | x1 | x2 | x3 | x4 | x5 |
|---|---|---|---|---|---|---|---|
| S01 | 3.2 | 1 | 0.8 | 1 | 0.4 | 0 | 1 |
| S02 | 5.1 | 0 | -0.2 | 0 | -0.5 | 1 | 0 |
| S03 | 2.4 | 1 | 1.1 | 1 | 0.9 | 1 | 1 |
| S04 | 6.8 | 0 | -0.7 | 0 | -0.1 | 0 | 0 |
| S05 | 4.0 | 1 | 0.3 | 1 | 1.2 | 1 | 0 |
This tool uses supplied coefficients and a Breslow baseline estimate from the entered dataset. The PH correlation is a fast screening proxy.
It checks risk scores, Breslow baseline hazard, predicted survival, martingale residuals, deviance residuals, Cox-Snell residuals, influence magnitude, and a fast proportional-hazards drift proxy from Schoenfeld residual patterns.
Yes. You need at least an ID, observed time, event flag, and the matching covariate values. The calculator uses those rows to build risk sets and estimate the cumulative baseline hazard.
Large positive or negative martingale residuals can suggest poor local fit, omitted nonlinearity, or unusual observations. They are especially useful when checking whether a covariate effect may need transformation.
Deviance residuals symmetrize martingale residuals. Values far from zero can flag outliers or observations the model fits poorly. Many analysts start reviewing cases with absolute values greater than about two.
No. The correlation shown here is a fast screening proxy based on event times and Schoenfeld residuals. Use a full formal PH test when you need publication-grade inference.
Harrell’s c-index measures how well the model ranks earlier events above later observations. Higher values indicate better discrimination, while values near 0.5 suggest weak ranking performance.
Yes. Leave unused coefficients at zero and keep missing x columns empty or omitted. The calculator treats missing x2 to x5 columns as zeros.
Exports make it easier to document model reviews, share screening findings, attach evidence to reports, and continue residual analysis in spreadsheets or audit packages.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.