`scipy.stats._relative_risk:RelativeRiskResult.confidence_interval`

source: /scipy/stats/_relative_risk.py :54

Signature

def confidence_interval ( self , confidence_level = 0.95 )

Summary

Compute the confidence interval for the relative risk.

Extended Summary

The confidence interval is computed using the Katz method (i.e. "Method C" of ^[1]; see also ^[2], section 3.1.2).

Parameters

confidence_level : float, optional: The confidence level to use for the confidence interval. Default is 0.95.

Returns

ci : ConfidenceInterval instance: The return value is an object with attributes low and high that hold the confidence interval.

Examples

from scipy.stats.contingency import relative_risk
result = relative_risk(exposed_cases=10, exposed_total=75,
                       control_cases=12, control_total=225)
result.relative_risk

✓

result.confidence_interval()

✗

Aliases

scipy.stats._relative_risk.RelativeRiskResult.confidence_interval