sep.rb2.binom {RSurveillance} | R Documentation |
Binomial risk-based population sensitivity for 2 risk factors
Description
Calculates risk-based population sensitivity for two risk factors, using binomial method (assumes a large population)
Usage
sep.rb2.binom(pstar, rr1, ppr1, rr2, ppr2, n, se)
Arguments
pstar |
design prevalence (scalar) |
rr1 |
relative risks for first level risk factor (vector of values corresponding to the number of risk strata) |
ppr1 |
population proportions for first level risk factor (vector of same length as rr1) |
rr2 |
relative risks for second level risk factor, matrix, rows = levels of rr1, cols = levels of rr2 |
ppr2 |
population proportions for second level risk factor, matrix, rows = levels of rr1, cols = levels of rr2 |
n |
matrix of number tested for each risk group (rows = levels of rr1, cols = levels of rr2) |
se |
test unit sensitivity (scalar) |
Value
list of 4 elements, a scalar of population-level sensitivity a matrix of EPI values, a vector of corresponding Adjusted risks for the first risk factor and a matrix of adjusted risks for the second risk factor
Examples
# examples for sep.rb2.binom
pstar<- 0.01
rr1<- c(3, 1)
ppr1<- c(0.2, 0.8)
rr2<- rbind(c(4,1), c(4,1))
ppr2<- rbind(c(0.1, 0.9), c(0.3, 0.7))
se<- 0.8
n<- rbind(c(50, 20), c(20, 10))
sep.rb2.binom(pstar, rr1, ppr1, rr2, ppr2, n, se)