Estimate test panel combination sensitivity — panel_sens

Estimate the sensitivity of a combination of tests, where the tests are testing for different conditions and positive results are combined into a panel using a logical OR. Because false negatives from each component of a panel can be cancelled out by true positives, or false positives from other components of the test depending on the prevalence of the underlying conditions, the combined false negative rate is lower the more cases there arecombine the false positive rate for the panel is higher than the individual components (and hence the true negative rate a.k.a specificity is lower).

Usage

panel_sens_estimator(ap, sens, spec, na.rm = FALSE)

Arguments

ap: the apparent prevalence or test positivity (one of p or ap must be given)
sens: a vector of sensitivities of the component tests
spec: a vector of specificity of the component tests
na.rm: remove NA values?

Value

an effective specificity for the combination of the tests

Examples

#TODO