Risk-Based Metrics

Undetected cases are the primary measure of risk in the model. From them, one can calculate the risk reduction and the cost effectiveness of testing.

cs_undetected() calculates the proportion of undetected cases cs_rr() calculates the reduction in risk relative to no screening cs_cost_eff() calculates the number of cases detected per test

Usage

cs_undetected(dt)

cs_rr(dt, relative = TRUE)

cs_cost_eff(dt)

Arguments

dt

[data.table] The joint distribution from a cs_dist()

relative

[logical(1)] Whether to return risk reduction relative to baseline risk (TRUE) or as an absolute proportion of the organization (FALSE)

Value

[double(1)] A proportion