Calculate Cox's Index for binary measures
Usage
coxs_index(
prevalance_int = 0.4,
prevalance_comp = 0.3,
n_int = 100,
n_comp = 110
)
Arguments
- prevalance_int
The prevalence of the outcome for the intervention group.
- prevalance_comp
The prevalence of the outcome for the comparison group.
- n_int
The number of observations in the intervention group.
- n_comp
The number of observations in the comparison group.
Value
The Cox's Index value.
Examples
i <- coxs_index(prevalance_int = 0.4, prevalance_comp = 0.3, n_int = 100, n_comp = 110)
