computePValue: FUNCTION to compute the probability of finding no...
In FFD: Freedom from Disease

Description Usage Arguments Value Author(s) References See Also Examples

For a population of size nPopulation with a given design prevalence the function computes the probability of finding no testpositives in a sample of size nSample if an imperfect test is used (given sensitivity and specificity). This probability corresponds to the alpha-error (=error of the first kind) of the overall test with null hypothesis: prevalence = design prevalence. A modified hypergeometric formula is used; see Cameron, Baldock, 1998.

1 2	computePValue(nPopulation, nSample, nDiseased, sensitivity, specificity = 1)

`nPopulation`	Integer. Population size.
`nSample`	Integer. Size of sample.
`nDiseased`	Integer. Number of diseased elements in the population according to the design prevalence.
`sensitivity`	Numeric between 0 and 1. Sensitivity (= probability of a testpositive result, given the tested individual is diseased) of the test (e.g., diagnostic test or herd test).
`specificity`	Numeric between 0 and 1. Specificity (= probability of a testnegative result, given the tested individual is not diseased) of the test (e.g., diagnostic test or herd test). The default value is 1.