1. $et_{50}$ and $\gamma$ estimation | 2. $p_{max}$ estimation

PoDBAY efficacy introduction | 1. PoD-titer relationship estimation - Trial A | Data preparation | PoD curve estimation | PoD curve point estimate | PoD curve confidence intervals | PoD curve plot | 2. PoDBAY efficacy estimation - Trial B | Efficacy point estimate | Efficacy set $e^{``}$ | Efficacy confidence intervals | PoDBAY efficacy - output summary | Appendix | 1. PoD-titer relationship estimation | Non-diseased immunogenicity sample

Empty population class object | Non-empty population class object | Application of population class methods | Starting population class object | getTiters | assignPoD | getDiseasedCount, getNondiseasedCount, getDiseasedTiters, getNondiseasedTiters | How to convert subject level data into the population class object | Mock-up data | Conversion to population class object

PoDBAY simulation introduction | 1. Simulation inputs | Method parameter | method = "Full" | method = "Ratio" | method = "Fixed" | Adjust titer parameters | Simulation parameter inputs | True efficacy | 2. Case-count efficacy | Generation of vaccinated and control populations | Probability of Disease | Case-count efficacy | 3. Immunogenicity sample | Diseased and nondiseased populations | Immunogenicity sample | 4. PoDBAY efficacy | PoD curve parameters | PoDBAY efficacy | PoDBAY Simulation - output summary | Appendix