KMPlotGenie – Easy-to-do Survival Analysis

Data Input

Paste Column Data

Copy each column from your spreadsheet and paste it into the box below. One value per line — rows must align across all columns.

Time Variable

Event Variable

Group Variable (OPTIONAL)

Kaplan–Meier Survival Analysis

Plot Parameters

Plot Title

X-axis Label

Y-axis Label

Legend Title

Font Size

Plot Theme

Display Options Confidence Interval P-value on plot Risk table Median survival line Censor marks Cumulative events Show data points

Kaplan–Meier Plot

Load data then click
"Generate Survival Plot"

Survival Table Generator

Table Parameters

Time Points (comma separated)

Leave empty to use all observed event times

Table Title (for HTML export)

Show Confidence Intervals Show Median Survival

Median Survival Summary

Run the analysis first, then generate the table.

Cox Proportional Hazards Regression

Cox Model Parameters

Cox regression uses your loaded Time and Event columns. The Group variable (if loaded) will be used as the covariate. You can also add extra numeric covariates below.

Additional Numeric Covariates (optional)

Paste one covariate per box — same row order as your time/event data.

Include Group variable as covariate

How to Interpret

Hazard Ratio (HR): HR > 1 = increased hazard; HR < 1 = decreased hazard relative to reference.

95% CI: If the CI excludes 1, the effect is statistically significant.

p-value: Tests whether the covariate has a significant effect on survival.

concordance (C-index): Discrimination ability of the model; 0.5 = random, 1.0 = perfect.

Note: This implementation uses a Newton-Raphson partial likelihood approach. For large datasets or many covariates, results may differ slightly from R's coxph due to tie-handling differences (Efron vs Breslow).