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Course Catalog

600.702.86 Intermediate Epidemiology

Department:
Online Programs for Applied Learning
Term:
2nd term
Credits:
4 credits
Academic Year:
2019 - 2020
Location:
Internet
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Elizabeth Golub
Course Instructor s:
Resources:
Prerequisite:

Introduction to Epidemiology (600.701.86) or equivalent (with instructor permission) and either Public Health Statistics 1 (600.711.86) or Statistical Concepts in Public Health 1 (600.709.86)

Description:

Expands knowledge beyond introductory level epidemiologic concepts and methods material using examples from the published literature. Emphasizes interpretation and the ability to critically evaluate issues related to populations/study design, measurement, population comparisons and inference, including modern cohort study designs; advanced nested designs; novel techniques for exposure assessment; interpretation and utility of measures of impact; sources of bias and methods for their prevention; descriptive and analytical goals for observational study inference; the counterfactual model for defining exchangeability, cause, and confounding; and synthesis of inferences from observational studies as compared with randomized clinical trials.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Critically analyze public health literature and utilize a framework to illustrate strengths and limitations in the epidemiologic approach
  2. Compare and contrast study design aspects of randomized clinical trials, cohort studies, and nested study designs, specifically regarding methods for participant selection, data summarization and population comparisons
  3. Identify sources of bias resulting from participant selection and measurement
  4. Describe the impact of biases resulting from participant selection and measurement on epidemiologic inferences and approaches for ameliorating their influence
  5. Articulate and illustrate (using DAGs) concepts and terminology used to define a ‘cause’ in epidemiology
  6. Define and distinguish confounding, effect modification, and mediation
  7. Contrast classical (e.g., regression-based) and modern (e.g., propensity-score) approaches for addressing confounding and mediation
Methods of Assessment:

This course is evaluated as follows:

  • 40% Quizzes
  • 40% Written Assignment(s)
  • 20% Project(s)

Enrollment Restriction:

Restricted to students enrolled in OPAL programs

Instructor Consent:

No consent required