Fall 2024 - HSCI 410 D100
Exploratory Data Analysis (3)
Class Number: 5653
Delivery Method: In Person
Overview
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Course Times + Location:
Sep 4 – Dec 3, 2024: Tue, 8:30–11:20 a.m.
Burnaby
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Instructor:
Joao Luiz Dornelles Bastos
1 778 782-7954
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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.
Registrar Notes:
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html