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1-Stage Freedom analysis
Use these utilities to assist with planning and analysis of simple 1-stage surveys to demonstrate disease freedom. Methods are appropriate for sampling units (animals, fish, plants, etc) to demonstrate cluster (herd, flock, farm, tank, etc) freedom, or for either individuals or clusters to demonstrate population freedom. All methods assume representative sampling of units from the population and methods are included for large (or unknown) and finite (known) population size. Most of the options (except where noted) assume perfect (100%) test specificity.
Click here for some important formulae for freedom analyses.
Assuming perfect test specificity (100%)
Sample size calculation
Use these options to estimate required sample size assuming perfect test specificity:
Population sensitivity calculation (SeH or SSe)
Use these options to calculate cluster or population-level sensitivity assuming perfect test specificity:
- Population sensitivity assuming perfect test specificity (replaces previous options for large and finite populations)
- Population sensitivity for varying unit sensitivity
- Population sensitivity using pooled sampling
Allowing for imperfect test specificity (<100%)
Sample size calculation
Use these options to estimate required sample size assuming imperfect test specificity:
Population sensitivity with imperfect test specificity
Use these options to calculate cluster or population-level sensitivity assuming imperfect test specificity: