Fall 2025 - HSCI 410 D100
Exploratory Data Analysis (3)
Class Number: 3308
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 3 – Dec 2, 2025: Wed, 9:30 a.m.–12:20 p.m.
Burnaby -
Exam Times + Location:
Dec 5, 2025
Fri, 12:00–3:00 p.m.
Burnaby
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Instructor:
Lawrence McCandless
lmccandl@sfu.ca
1 778 782-8651
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Prerequisites:
STAT 302 or STAT 305, with a minimum grade of C-. Recommended: HSCI 230.
Description
CALENDAR DESCRIPTION:
Regression and data analysis techniques for health research. Practical approaches to linear and logistic regression, multivariable modelling, interaction, variable selection, confounding, and measures of association. Computer-based laboratory exercises using statistical software applied to health datasets.
COURSE DETAILS:
Prerequisite: STAT 302
Recommended: HSCI 330
Regression and data analysis techniques for health research. Practical approaches to linear and logistic regression, multivariable modelling, interaction, variable selection, confounding, and measures of association. Computer-based laboratory exercises using statistical software applied to health datasets.
Course Format:
A single three hour lecture using RStudio software on the student computer for hands on data analysis.
Grading
- Participation 20%
- Activity Sheets 20%
- Midterm and Final Exam 60%
NOTES:
Assignments must be handed in on time, late assignments will not be marked. You may discuss ways to approach homework with other students. However, each homework project must be your own independent work. Missing exams due to illness: you are required to contact the instructor prior to the exam by e-mail or in person. A medical doctors note specifying the date of your absence is required when you return to the class. Make up exams cannot be given without a doctor's note.
Materials
REQUIRED READING:
Principles of Biostatistics, Marcello Pagano and Kimberlee Gauvreau, 2nd Ed (kindle
edition available on Amazon)
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
At SFU, you are expected to act honestly and responsibly in all your academic work. Cheating, plagiarism, or any other form of academic dishonesty harms your own learning, undermines the efforts of your classmates who pursue their studies honestly, and goes against the core values of the university.
To learn more about the academic disciplinary process and relevant academic supports, visit:
- SFU’s Academic Integrity Policy: S10-01 Policy
- SFU’s Academic Integrity website, which includes helpful videos and tips in plain language: Academic Integrity at SFU
RELIGIOUS ACCOMMODATION
Students with a faith background who may need accommodations during the term are encouraged to assess their needs as soon as possible and review the Multifaith religious accommodations website. The page outlines ways they begin working toward an accommodation and ensure solutions can be reached in a timely fashion.