risk-metrics: Risk-Based Metrics
In jesse-smith/covidscreen: COVID-19 Asymtomatic Screening Strategy Assessment

risk-metrics

R Documentation

Risk-Based Metrics

Description

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`)