Derive relative risk and associated confidence intervals for binary outcomes

calculate_rel_risk_bin(prop1, prop2, N1, N2, cl)

Arguments

prop1

(numeric)
Proportion of cases in active treatment

prop2

(numeric)
Proportion of cases in comparator treatment

N1

(numeric)
Total number of subjects in active treatment

N2

(numeric)
Total number of subjects in comparator treatment

cl

(numeric)
confidence level

Examples

calculate_rel_risk_bin(
  prop1 = .45, prop2 = 0.25, N1 = 500, N2 = 500,
  cl = 0.95
)
#> [2024-07-02 11:58:16] >
#> CI for relative risk for binary outcomes is calculated
#>    rr         se    lower    upper
#> 1 1.8 0.09189366 1.503324 2.155225