Event
Bayesian statistics | Spatial data
Workshop series
Computational and Data Systems Initiative
This workshop will provide an introduction to the analysis of spatially structured data.
It will introduce Spatial Statistics and focus on the analysis of data that vary over a discrete set of indices (areal data) as, for example, the number of registered cases of Covid-19 across the boroughs of Montreal.
At the end of the workshop, participants will have learned how to
> fit conditional auto-regressive (CAR) models;
> fit areal level data using CARBayes in R;
> create disease maps.
Pre-requisites: Knowledge of generalized linear models and R.
Date: Monday, April 11, 2022
Time: 1PM to 3PM
Location: online via Zoom.
Instructors: Alexandra Schmidt, Professor of Biostatistics, Department of Epidemiology, Biostatistics and Occupational Health (EBOH) at McGill University
