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.
Outputs from the analysis include:
Paste testing data in the space below. Two columns are required, the first is Unit ID
and the second is sensitivity (test or cluster) for that unit. A header row specifying column
names must also be included.
Download example data
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any comments, questions or suggestions to Evan Sergeant
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