Spring 2024 - HSCI 410 D100
Exploratory Data Analysis (3)
Class Number: 4429
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 8 – Apr 12, 2024: Mon, 2:30–5:20 p.m.
Burnaby -
Exam Times + Location:
Apr 13, 2024
Sat, 8:30–11:30 a.m.
Burnaby
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Instructor:
Lawrence McCandless
lmccandl@sfu.ca
1 778 782-8651
Office: BLU11520
Office Hours: By appointment only
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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
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