Spring 2020 - HSCI 410 D100
Exploratory Data Analysis (3)
Class Number: 2181
Delivery Method: In Person
Course Times + Location:
Th 11:30 AM – 2:20 PM
BLU 11660, Burnaby
Exam Times + Location:
Apr 15, 2020
12:00 PM – 3:00 PM
AQ 5016, Burnaby
1 778 782-8651
Prerequisites:STAT 302 or STAT 305. 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.
A single three hour lecture in the computer lab with hands on data analysis. Each week there will be three hours of instruction in lecture format with regular class discussion.
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 that the SFU library. The textbook is required and examinations are open book.
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