Fall 2020 - HSCI 410 D100
Exploratory Data Analysis (3)
Class Number: 6302
Delivery Method: Remote
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.
A single three hour lecture using RStudio software on the student computer for hands on data analysis. Each week there will be three hours of synchronous instruction using Zoom in lecture format with regular class discussion. The lecture will be recorded and posted after class.
COURSE-LEVEL EDUCATIONAL GOALS:
At the end of this course, students should be able to:
- Describe the basic concepts in linear and logistic regression modelling
- Describe and apply modelling concepts from epidemiology including interaction, confounding and summary measures of effect, and what variables to put in your model.
- Describe common applications of regression in the health sciences
- Be able to interpret and critically assess reports in the literature and media
- Apply statistical software for linear and logistic regression models.
- Term paper 50%
- Midterm exam 20%
- Final exam 20%
- Participation 10%
Principles of Biostatistics, Marcello Pagano and Kimberlee Gauvreau, 2nd Ed. A copy of the textbook is on reserve at the SFU library. The textbook is required and examinations are open book.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity web site 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
TEACHING AT SFU IN FALL 2020
Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112).