Simon Fraser University
Engaging the World

Course Outlines

Spring 2022 - HSCI 410 D100

Exploratory Data Analysis (3)

Class Number: 5797

Delivery Method: In Person

Overview

  • Course Times + Location:

    Jan 10 – Apr 11, 2022: Tue, 2:30–5:20 p.m.
    Burnaby

  • Exam Times + Location:

    Apr 21, 2022
    Thu, 7:00–10:00 p.m.
    Burnaby

  • 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:

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.

Grading

  • Term paper 50%
  • Midterm exam 20%
  • Final exam 20%
  • Participation 10%

Materials

REQUIRED READING:

Required Textbook:

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.

Registrar Notes:

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 SPRING 2022

Teaching at SFU in spring 2022 will involve primarily in-person instruction, with safety plans in place.  Some courses will still be offered through remote methods, and if so, this will be clearly identified in the schedule of classes.  You will also know at enrollment whether remote course components will be “live” (synchronous) or at your own pace (asynchronous).

Enrolling in a course acknowledges that you are able to attend in whatever format is required.  You should not enroll in a course that is in-person if you are not able to return to campus, and should be aware 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.

Students with hidden or visible disabilities who may need class or exam accommodations, including in the context of remote learning, are advised to register with the SFU Centre for Accessible Learning (caladmin@sfu.ca or 778-782-3112) as early as possible in order to prepare for the spring 2022 term.