This is a basic course in epidemiology, which also covers a variety of analytic topics not commonly addressed in elementary statistics courses. This course will introduce students to the field of epidemiology. Students will critically evaluate articles in the epidemiologic literature and examine epidemiologic methods including:
study design and statistical analysis
logistic and Poisson regression
measurement error and exposure misclassification
imputation of missing values
multilevel regression models in epidemiology
Explain basic concepts in descriptive epidemiology such as incidence, prevalence, mortality, morbidity and effect.
Distinguish among common epidemiological designs such as case-control, cohort, cross-sectional and randomized controlled studies.
Identify major categories of bias that can affect the validity of epidemiological studies.
Apply common measures of association such as relative risk, odds and odds ratios, attributable risk, attributable risk percentage and population attributable risk to epidemiological data.
Employ common tools of epidemiological statistics such as logistic and Poisson regression and become oriented to multilevel regression models to analyze appropriate data.
Working knowledge of how to interpret P values, null hypothesis and confidence intervals and some experience with SAS, Excel, linear regression models and natural logarithms including exponentiation using a calculator or the “exp” function in Excel.
A solid grasp of high school math skills, including the ability to use logarithms capably and to work competently with percentages and ratios.
Students must reside in Canada in order to access the data used in PHDA 02
If space is available, you may take PHDA02 as a stand-alone course for professional development. Non-certificate students must meet the same prerequisites as certificate students.
Minimum Registration Requirement
This course may be cancelled if the minimum enrollment requirement is not met by the registration deadline.
Our Students Say...
"Epidemiological Statistics was a great refresher for advanced statistics using sample data sets and applied examples. It was a very useful and informative course" Jenn Dixon, Research Associate in the field of Population and Public Health
This course may be available online. Students login to the course and communicate with the instructor and fellow students via the Internet. All assignments and course activities are submitted electronically to the course instructor.
Using mobile devices in online courses
If you are planning on accessing your online courses using a mobile device such as a tablet or a smartphone, please note that not all required course features will be accessible with these devices. To fully function in your online courses, you will need to have access to a computer running Windows or MacOS.
Before course start date or up to six calendar days after the official course start date: 100% refund less a $100 administrative fee.
After course start day (up to 13 calendar days): A 50% refund will be provided.
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