Epidemiological Statistics
Code: PHDA02
Apply this course towards:
Population Health Data Analysis
Course description
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:
- data collection
- study design and statistical analysis
- ratios
- relative risk
- contingency tables
- logistic and Poisson regression
- measurement error and exposure misclassification
- imputation of missing values
- multilevel regression models in epidemiology
Learning objectives
- 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.
Prerequisites
- Admission to the PSC in Population Health Data Analysis or permission from the program to take up to two courses for professional development.
- 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.)
Residency
Students must reside in Canada in order to access the data used in PHDA 02
Stand-alone
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
To see what other students are saying about this course, please visit https://www.popdata.bc.ca/etu/testimonials.
Registration details
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