pub fn relative_risk_py(table: &Bound<'_, PyArray2<f64>>) -> PyResult<f64>Expand description
Calculate relative risk (risk ratio) for a 2x2 contingency table.
The relative risk is a measure of association between exposure and outcome in cohort studies. It represents the risk of outcome in the exposed group relative to the unexposed group.
For a 2x2 table: Outcome+ Outcome- Exposed+ a b Exposed- c d
Relative Risk = [a/(a+b)] / [c/(c+d)]
Parameters: table: 2x2 array of observed frequencies
Returns: Relative risk value