Examples
Examples
Try the starting example
- Exposed events a
- 20
- Exposed non-events b
- 80
- Control events c
- 10
- Control non-events d
- 90
- Risk estimate
- 2
- 95% interval lower
- 0.986563
- 95% interval upper
- 4.054479
Try another scenario
- Exposed events a
- 21
- Exposed non-events b
- 80
- Control events c
- 10
- Control non-events d
- 90
- Risk estimate
- 2.079208
- 95% interval lower
- 1.032044
- 95% interval upper
- 4.188876
Calculation method
Calculation method
Risk estimate
RR=(a/(a+b))/(c/(c+d)); standard large-sample log-Wald interval.
95% interval lower
RR=(a/(a+b))/(c/(c+d)); standard large-sample log-Wald interval.
95% interval upper
RR=(a/(a+b))/(c/(c+d)); standard large-sample log-Wald interval.
Symbols and units
- a
- Exposed events a
- b
- Exposed non-events b
- c
- Control events c
- d
- Control non-events d
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
- Large-sample descriptive interval; positive cells required, no automatic continuity correction. 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. Large-sample descriptive interval; positive cells required, no automatic continuity correction.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.
Further reading
Background reading; this does not imply endorsement or independent review of SumFizz.