Event

Bayesian statistics: spatial data (Online)

Monday, April 11, 2022 13:00to15:00
 spatial data (Online)

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.

 

Click here to register!

 

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.

 

If you'd like to know when registration will open for future workshops, you can sign up for our mailing list.

Online Event Instructions

Students must register for the workshop with their McGill emails.

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