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STAT 836Introduction to the Analysis of Spatial Data in Health Research

Units
0.50
Level
Graduate
Faculty
Mathematics
Subject
Statistics

STAT 836 as listed in the Winter 2025 Graduate Calendar. The main page has the current version, when it runs, and seats.

The objective of this course is to develop understanding and working knowledge of spatial models and analysis of spatial data. The course provides an introduction to the rudiments of statistaical inference based on spatially correlated data. Methods of estimation and testing will be developed for geostatistical models based on variograms and spatial autoregressive models. Concepts and application of methods will be emphasized through case studies and projects with health applications.

Prerequisites

  • Complete 1 of the following
    • Must have completed the following:
      • STAT831 - Generalized Linear Models and Applications (0.50)
    • Must have completed the following:

Antirequisites

  • Not completed nor concurrently enrolled in:

Leads to

No course lists it as a requisite.

Check it elsewhere for Winter 2025

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 24 terms, Fall 2012 to Winter 2024