Survival Kaplan-Meier estimate calculator

Calculate kaplan–Meier [time,risk,events,censored,survival,95%lower,95%upper] table and final estimated survival fraction with your own figures.

Your numbers

Use the units shown. Results update as you change valid inputs.

Use kaplan–Meier [time,risk,events,censored,survival,95%lower,95%upper] table and final estimated survival fraction to compare changes to your inputs. The method and limits below explain the scope.

Examples

Examples

Try the starting example

Follow-up times
1,2,2,3,4,5
Event indicator (1=event, 0=censored)
1,1,0,1,0,1
Kaplan–Meier [time,risk,events,censored,survival,95%lower,95%upper] table
[[1,6,1,0,0.833333333333,0.273122849928,0.974712426691],[2,5,1,1,0.666666666667,0.194616636806,0.904434164323],[3,3,1,0,0.444444444444,0.0661867531464,0.784908367148],[4,2,0,1,0.444444444444,0.0661867531464,0.784908367148],[5,1,1,0,0,0,0]]
Final estimated survival fraction
0

Try another scenario

Follow-up times
2.0,2.0,2.0,3.0,4.0,5.0
Event indicator (1=event, 0=censored)
1,1,0,1,0,1
Kaplan–Meier [time,risk,events,censored,survival,95%lower,95%upper] table
[[2,6,2,1,0.666666666667,0.194616636806,0.904434164323],[3,3,1,0,0.444444444444,0.0661867531464,0.784908367148],[4,2,0,1,0.444444444444,0.0661867531464,0.784908367148],[5,1,1,0,0,0,0]]
Final estimated survival fraction
0
Calculation method

Calculation method

Kaplan–Meier [time,risk,events,censored,survival,95%lower,95%upper] table

Kaplan–Meier event-before-censoring risk sets with Greenwood log-log95% intervals; endpoints S=0/1 reported as point bounds.

Final estimated survival fraction

Kaplan–Meier event-before-censoring risk sets with Greenwood log-log95% intervals; endpoints S=0/1 reported as point bounds.

Symbols and units
a
Follow-up times
b
Event indicator (1=event, 0=censored)

Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.

Assumptions & limits

Assumptions & limits

  • Right-censored data, independent censoring assumption, no competing risks or extrapolation. Supported limits: All required fields must be finite values of the exact declared type and within displayed bounds. Lists contain1–1000 finite numbers. JSON tables are numeric rectangular rows, at most100 rows and30 columns; individual tools have stricter shape/domain constraints. Right-censored data, independent censoring assumption, no competing risks or extrapolation.
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Further reading

Method reference ↗

Background reading; this does not imply endorsement or independent review of SumFizz.

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