340.709.11
Advanced Methods in Observational Studies: Inference
Location
East Baltimore
Term
Summer Institute
Department
Epidemiology
Credit(s)
2
Academic Year
2013 - 2014
Instruction Method
TBD
Start Date
Monday, June 17, 2013
End Date
Friday, June 21, 2013
M, Tu, W, Th, F, 8:30am - 12:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
One Year Only
Resources
Prerequisite
Students must have 1 term of epidemiology (340.601, or equivalent with consent of instructor) and 1 term of biostatistics including knowledge of multivariable regression
Expands beyond introductory level epidemiologic concepts and methods material. Using examples from the published literature, emphasizes inference, evaluation interpretation and the ability to critically evaluate issues related to comparison of populations and synthesizing inferences from observational studies including: descriptive and analytical goals for observational study inference; the counterfactual model for defining exchangeability, cause, and confounding; graphical and analytical tools for assessing causal pathways and investigating their underlying assumptions, including comparing classical and modern approaches for assessing and addressing confounding and mediation.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Utilize and illustrate a framework for distinguishing different inferential goals of an epidemiological study
- Define concepts and terminology in causal inference for epidemiology and develop graphical approaches (e.g., DAGs) for models that integrate confounding and mediation effects
- Illustrate, interpret, and contrast ‘classical’ (e.g., regression) approaches for addressing confounding with modern techniques (e.g., propensity-score and inverse-weighting methods)
- Identify and evaluate approaches for implementing a basic sensitivity analysis
Enrollment Restriction
Students who have taken 340.608 may not take this course