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Pooled Prevalence
The calculators provided here are particularly designed for estimating prevalence where samples are tested individually or in groups (pools) or where one or more tests are used with imperfect sensitivity and/or specificity.
Estimating individual prevalence from pooled samples:
Estimating sample sizes required for prevalence estimation from pooled testing:
Simulate sampling to assess the validity and precision of pooled testing strategies for estimating individual prevalence:
Detection of disease or demonstration of freedom using pooled testing:
Bayesian methods to estimate prevalence from individual (unpooled) samples using imperfect test(s):
Calculate parameters for prior probability distributions:
- Parameterise a single Beta probability distribution from mode and 5/95 percentiles
- Parameterise a single Beta probability distribution from count data
- Summarise Beta probability distributions for given alpha and beta parameters
- Estimate parameters for multiple Beta probability distributions or summarise distributions for specified parameters