adjPrevSensSpec: Adjust a prevalence point estimate for a given assay...

In bootComb: Combine Parameter Estimates via Parametric Bootstrap

Description

Given a reported prevalence estimate from an imperfect assay with known sensitivity and specificity, this function will adjust the prevalence point estimate for the assay sensitivity and specificity.

Usage

adjPrevSensSpec(prevEst, sens, spec, replaceImpossibleValues = FALSE)

Arguments

prevEst	The reported prevalence point estimate.
sens	The known assay sensitivity.
spec	The known assay specificity.
replaceImpossibleValues	Logical; not all combinations of prevalence, sensitivity and specificity are possible and it can be that the adjusted prevalence is <0 or >1, so if this parameter is set to TRUE, values below 0 are set to 0, values above 1 to 1. Default to FALSE.

Value

A vector of the same length as prevEst, returning the adjusted prevalence estimates.

See Also

adjPrevSensSpecCI, ssBetaPars, optim, dbeta

Examples

adjPrevSensSpec(prevEst=0.16,sens=0.90,spec=0.95)

bootComb documentation built on Jan. 31, 2022, 1:07 a.m.