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

Units: 0.50
Level: Graduate
Faculty: Mathematics
Subject: Statistics

When it runs

Ran in 2 of the last 7 terms. Winter 2027: scheduled, 1 lecture section. Spring 2027: schedule not out yet.

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:
  - STAT431

Antirequisites

Not completed nor concurrently enrolled in:
- STAT436

Leads to

No course lists it as a requisite.

Winter 2027 sections

Enrolment from UW Open Data, which can trail Quest by up to two days. Instructors and rooms: Schedule of Classes.
Section	Class	Enrolled	Meets
LEC 001	6134	0 / 15	MW 11:30–12:50

Check it elsewhere for Fall 2026

Graduate Calendar, Fall 2026The official entry
Requirements for Fall 2026Waterloo’s requisite checker
Schedule of Classes, Fall 2026Instructors, rooms, live seats
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Course outlinesSyllabi from past terms (UW login)
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WClassesPast sections back to 2004, and who taught them

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 24 terms, Fall 2012 to Winter 2024