HBOMS Tutorials

Contents:

• HBOMS epi model example
  • Vaccination data
  • Define an HBOMS model
  • Have a look at the Stan model in full color.
  • Use the HBOMS model to simulate some data.
  • Check intial guesses.
  • Now fit the model
  • Look at the parameter estimates
  • Vaccination coverage
• Models with censored observations
  • Test python model
  • Generate a panel of VL timeseries
  • Plot the data
  • Define and compile the HBOMS model
  • Gather data and check initial parameter guess
  • Fit the model
  • What happens if we ignore censoring?
• Add arbitrary Stan code to an HBOMS model
  • Example: SEIR model with serial interval data
  • Simulate data with the Stan model
  • Fit the Stan model to the simulated data
• Adding covariates to model parameters
  • Predator-prey model with a covariate
  • A model with a categorical covariate (TODO)