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Course Catalog


Department: Epidemiology
Term: 4th term
Credits: 5 credits
Contact: Ayesha Khan
Academic Year: 2014 - 2015
Course Instructors:

Integrates and extends material learned in the three-course Epidemiologic Methods sequence. Focuses on the application of strategies for addressing key methodologic challenges that arise when carrying out epidemiologic research. Incorporates experiential learning components, including computer-based laboratory exercises and a practicum, which require working knowledge of SAS or STATA.

Learning Objective(s):
Upon successfully completing this course, students will be able to:
Identify complex methodological problems in epidemiologic research, such as (a) missing data, (b) information bias, (c) confounding bias, (d) selection bias, (e) multiple exposures, and (f) multilevel determinants of disease, and state implications for et
Apply appropriate analytic tool(s) (e.g., multiple imputation, propensity scores, inverse probability weighting, regression calibration, and multilevel models) to diagnose and account for complex methodological problems, such as those listed above
Evaluate the sensitivity of an etiologic inference to possible bias due to complex methodological problems, such as those listed above

Methods of Assessment: 40% multiple-choice or short answer examination, 40% practicum (e.g., brief scholarly paper or poster), 20% participation in lectures and laboratories.
Location: East Baltimore
Class Times:
  • Monday 8:30 - 9:50
  • Wednesday 8:30 - 9:50
  • Friday 8:30 - 9:50
Lab Times:
  • M F 10:00 - 11:50 (1)
Enrollment Minimum: 30
Enrollment Maximum: 72
Enrollment Restriction: No auditors permitted.
Instructor Consent: Consent required for some students

Consent required for special students and non-JHSPH students.

For consent, contact:

Epidemiologic Methods 1-3 (340.751 – 340.753) and either Statistical Methods in Public Health I-III (140.621 – 140.623) or Methods in Biostatistics I-III (140.651 – 140.653).

Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail