Competing-risk cumulative incidence
Estimate cause-specific event probabilities with the Aalen–Johansen product-limit update.
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Use at least two synthetic records, common time origin and no delayed entry. At each tied time, both event types occur before censoring removes records.
The starting values are hypothetical. Results update as you edit. Use aggregate or synthetic inputs only.
Calculation results
- Target cumulative incidence
- 0.5
- Competing cumulative incidence
- 0.5
- Event-free survival
- 0
- Time: target / competing / survival
- 1: 0.200000 / 0.000000 / 0.800000 | 2: 0.200000 / 0.200000 / 0.600000 | 3: 0.200000 / 0.200000 / 0.600000 | 4: 0.500000 / 0.200000 / 0.300000 | 5: 0.500000 / 0.500000 / 0.000000
How to interpret the output
Each target increment is survival just before time × target events/at risk. Overall survival is then reduced by both event types. The target cumulative incidence differs from one minus a Kaplan–Meier estimate that censors competing events. Independent censoring is assumed; no confidence intervals or adjusted comparisons are returned.
Method referenceSource checked 2026-11-06. Read the reproducible calculator validation report.