340.763.01
Epidemiologic Methods for EPI Doctoral Students III
Location
East Baltimore
Term
3rd Term
Department
Epidemiology
Credit(s)
5
Academic Year
2023 - 2024
Instruction Method
In-person
M, W, 9:00 - 11:50am
Lab Times
Friday, 9:00 - 10:20am (01)
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
340.762 Epi Methods for Doctoral Students II
Introduces epidemiologic methods to doctoral students in the department of epidemiology including prediction in epidemiology, causal inference methods, mediation, advanced analytical methods to address bias, evidence synthesis, and translational epidemiology.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Describe the process and purpose of building and validating prediction models for their use in clinical practice and research.
- Identify situations when causal inference methods are appropriate and utilize analytical tools such as propensity scores, inverse probability weights, and G-computation to obtain effect estimates from observational data.
- Identify potential sources of bias and use appropriate analytical tools to address them.
- Describe how evidence from multiple studies can be synthesized and what are the challenges in doing so.
- Explain how findings from epidemiological studies can impact clinical practice or policy by using a translational epidemiology framework.
Methods of Assessment
This course is evaluated as follows:
- 20% Participation
- 20% Lab Assignments
- 10% Presentation(s)
- 20% Quizzes
- 30% Final Exam
Enrollment Restriction
PhD students in Epidemiology
Third course in a four-term sequence