# User guide

## Contents

- Introduction
- Overview
- Bayesian vs Frequentist methods
- Important assumptions
- Pooled prevalence estimates are biased!
- Fixed pool size and perfect tests
- Fixed pool size and known Se & Sp
- Fixed pool size and uncertain Se & Sp
- Variable pool size and perfect tests
- Pooled prevalence using a Gibbs sampler
- Sample size for fixed pool size and perfect test
- Sample size for fixed pool size and known test sensitivity and specificity
- Sample size for fixed pool size and uncertain test sensitivity and specificity
- Simulate sampling for fixed pool size
- Simulate sampling for variable pool sizes
- Pooled testing for demonstration of freedom
- True prevalence using one test
- True prevalence using two tests
- Estimation of parameters for prior Beta distributions