Population (or cluster) sensitivity for varying unit sensitivity
This utility calculates cluster (herd) or population-level sensitivity when individual unit sensitivity varies. It is useful for example when different units are tested with tests with different sensitivities for some reason, or when cluster-sensitivity varies among clusters when calculating overall population-level sensitivity.
If the population size is not specified the binomial method is used, otherwise the hypergeometric approximation is used.
- - Design prevalence, as either a proportion or as an integer number of units/clusters;
- - Population size, if known (Note: Population size MUST be specified if design prevalence is an integer);
- - Prior confidence of freedom; and;
- - 2 columns of data, including a header row. The first column is an identifier for each unit tested and the second is the sensitivity (test or cluster) for that unit
- - Cluster or population-level sensitivity for the given data; and
- - Confidence of freedom of the cluster or population from disease (at the specified design prevalence.