340.723.01
Epidemiologic Practice Methods for Population Health Research
Location
East Baltimore
Term
3rd Term
Department
Epidemiology
Credit(s)
3
Academic Year
2025 - 2026
Instruction Method
In-person
M, F, 9:00 - 10:20am
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
Epid Methods 1 and 2, e.g. 340.752 OR Epi Inference 1 and 2/Principles of Epi 1 and Epi Inference 2 (e.g. 340.722) AND 2 terms of Biostats: 140.622 OR 140.652
Enrollment Restriction
This course is not restricted.
Introduces quantitative epidemiologic techniques applied by academics researchers and public health professionals to analyze and interpret routinely collected data at the subpopulation level to target and allocate resources and address health inequities. Introduces analytic techniques in Stata and R, with topics including:
1) Weighted Survey Analysis: Analytic techniques for the incorporation of weights in the analysis of survey data to make inferences about the target population.
2) Calculating Life Expectancy: Calculation of single-decrement life tables using statistical programs as well as publicly available Excel-based tools.
3) Program Evaluation: Applications of econometric and observational study methods to quantify the effects of an intervention, policy change, or large-scale event.
4) Frameworks & Translational Epidemiology: Use of epidemiologic frameworks, geospatial mapping, and translational methods to inform on the ground health service delivery.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Apply methods for the analysis of weighted survey data, access publicly available population-based survey data conducted routinely in the US, and understand techniques used in weighting population survey data.
- Describe the components of a single-decrement life table, and use of life table tools to calculate at-birth life expectancy in demographic subpopulations using vital statistics data.
- Apply appropriate program evaluation and econometric techniques for quantifying changes in population-level core measures of health and effects of an intervention, policy change, or large-scale event.
- Demonstrate use of appropriate epidemiologic frameworks, geospatial mapping and translational epidemiologic methods to inform on-the-ground health service delivery.
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 80% Assignments
- 20% Discussion
The format of this course is a combination of lectures and small group discussions. In each module, students will be given time in small groups to discuss concepts and assignments, but ultimately each assignment will be turned in individually. There will be no requirement for small groups to meet outside of class time.