Harrison S. Quick

Restricted multivariate conditional autoregressive models for disease mapping

Bayesian spatial and spatiotemporal models are widely used in disease mapping to stabilize rate estimates in sparse-count settings by pooling information across regions, subgroups, and time. Yet this pooling carries a risk: such models can end up reflecting their own structure more than the data. In other words, they e...