Input Values 

This utility estimates the probability of detecting disease
(herd or clustersensitivity) in a
large (infinite) population, if it is present at the specified
design prevalence,
assuming a test of
known sensitivity and
specificity and for a variable cutpoint number fo positives to determine the test result. These analyses use the method from
Martin et el. (1992) (Prev Vet Med, 14:3343) and the binomial distribution function, assuming known test sensitivity and
test specificity and a variable cutpoint number of positives to declare
a population infected (i.e. a variable (nonzero) number of positive positives can be allowed
and still be recognised as free). The population is classified as infected if the
number of positive results is equal to or greater than the cutpoint.
Inputs are the sample size tested, test sensitivity, test specificity,
the design (target) prevalence and the cutpoint number of positives.
Outputs are:
 the clusterlevel sensitivity (SeH) and specificity (SpH) for the given sample size, test sensitivity,
test specificity, design prevalence and cutpoint number of positives; and
 tables and graphs of clusterlevel sensitivity and specificity values for a range of cutpoint,
sample size and design prevalence values.
