340.723.01
Epidemiologic Practice Methods for Population Health Research
 Location:
 East Baltimore
 Term:
 4th term
 Department:
 Epidemiology
 Credits:
 2 credits
 Academic Year:
 2021  2022
 Instruction Method:
 TBD
 Class Times:

 Wednesday, 8:30  10:20am
 Auditors Allowed:
 No
 Grading Restriction:
 Letter Grade or Pass/Fail
 Course Instructor:
 Contact:
 Aruna Chandran
 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
 Description:

Introduces quantitative epidemiologic techniques applied by both academics and public health professionals to analyze and interpret routinely collected at the subpopulation level to target and address health inequities. Four modules include instruction 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 singledecrement life tables using statistical programs as well as publically available Excelbased tools.
3. Estimate Preventable Deaths: Econometric techniques for estimating preventable deaths and potential lives saved from risk factor modification.
4. Conceptual Frameworks in Epidemiology: Apply graph theory to understand the relationships between variables in commonlyused causal frameworks. Understand the importance of using conceptual frameworks in guiding epidemiologic inquiry.
 Learning Objectives:

Upon successfully completing this course, students will be able to:
 Apply methods for the analysis of weighted survey data, access publically available populationbased survey data conducted routinely in the US, and understand techniques used in weighting population survey data.
 Describe the components of a singledecrement life table, and use of life table tools to calculate atbirth life expectancy in demographic subpopulations using vital statistics data.
 Apply appropriate econometric techniques for quantifying changes in populationlevel core measures of health and wellbeing having averted deaths through adjustments in modifiable risk factors.
 Identify opportunities for intervention and policy change in behavioral/environmental risk factors affecting population health through understanding the relationships between variables using elements of graph theory, and applying approaches for developing appropriate conceptual frameworks to answer a stated research question.
 Methods of Assessment:
(4) Assignments @ 25% each
 Instructor Consent:
No consent required
 Special Comments:
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.