estimate_min_specificity: Estimate minimum specificity from population testing

In epiforecasts/sars.cov.2.england.prevalence: Code accompanying the note "LFD mass testing in English schools - additional evidence of high test specificity"

Estimate minimum specificity from population testing

Description

Produces an estimate of minimum specificty under the assumption that of the tests identified only negatives as positives

Usage

estimate_min_specificity(
  positive,
  total,
  cutoff = 0.95,
  samples = 1000,
  min_specificity = 0.997,
  max_specificity = 1,
  prevalence = 0
)

Arguments

positive	vector of numbers; the number of positive tests in each sample
total	vector of numbres; the total number of tests (positive and negative) in each sample
cutoff	the cutoff for the estimate, i.e. the confidence level desired
samples	number of values of specificity to sample
min_specificity	minimum specificity to test
max_specificity	maximum specificity to test
prevalence	background prevalence; if >0 then it is assumed that sensitivity is 0, i.e. all positives are still false positives and some of the negatives are false negatives

Value

estimate of the lower bound of specificity at the desired confidence level

Author(s)

Sebastian Funk

epiforecasts/sars.cov.2.england.prevalence documentation built on June 15, 2022, 3:02 p.m.