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 basic statistical concepts (how to interpret P values, null hypothesis and confidence intervals)
Some experience with regression modelling and basic SAS or R programming (e.g., DATA step and procedures)
Please note: in addition to other course fees, new students will be charged a one-time $100 secure ID token fee when registering for their first course. (Please uncheck the box for this fee in the registrations details below if you have already paid it.)
Online learning is when course delivery, and all associated learning activities, take place via the internet. For online learning tips, system requirements and differences between delivery styles, please visit our online learning webpages.
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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