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 Professional Specialization Certificate in Population Health Data Analysis or permission of the Faculty Advisor.

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.

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/PHDA.

Registration details

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