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Epidemiologic Methods 3

East Baltimore
3rd term
5 credits
Academic Year:
2021 - 2022
Instruction Method:
Synchronous Online
Class Times:
  • M W F,  8:30 - 9:50am
Lab Times:
  • M W,  10:00 - 11:50am (01)
  • M W,  10:00 - 11:50am (02)
  • M F,  10:00 - 11:50am (03)
  • M F,  10:00 - 11:50am (04)
Auditors Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructors:
Derek Ng

Epidemiologic Methods 1 and 2 (340.751, 340.752), Statistical Methods in Public Health I and II (140.621, 140.622) or Methods in Biostatistics I and II (140.651, 140.652), and prior or concurrent enrollment in Statistical Methods in Public Health III (140.623) or Methods in Biostatistics III (140.653).


Expands on the presentation of modern epidemiologic inference emphasizing the theory and practice of epidemiologic data analysis. Covers detection and analysis of confounding and effect modification using multivariable models in the context of the major epidemiological study designs. Develops an understanding of the underlying principles & assumptions, practical application, and correct interpretation of epidemiologic results using appropriate multivariable models. Provides experience through laboratory exercises with applying epidemiologic analysis in both infectious and non-infectious disease settings.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Link appropriate analytic models with public health research questions and epidemiologic study designs
  2. Describe appropriate analytic approaches for risk factor analysis, causal investigation, and prediction
  3. Identify and critically evaluate different approaches to modeling complex exposures including dose-response relationships and time-varying exposures
  4. Account for the presence of confounding using multivariable regression
  5. Analyze data for the presence of effect modification
  6. Appropriately incorporate time into regression-based epidemiologic analysis, including continuous time-to-event analysis, discrete time-to-event analysis, and incidence rate analysis
  7. Conduct and interpret epidemiologic analyses using a range of multivariable models (including linear, logistic, Poisson, Cox proportional hazards, pooled logistic, and complementary log-log regression models)
Methods of Assessment:

This course is evaluated as follows:

  • 40% Midterm
  • 40% Final Exam
  • 5% Project(s)
  • 7% Quizzes
  • 8% Lab attendance

Enrollment Restriction:

No auditors permitted.

Instructor Consent:

Consent required for some students

Consent Note:

Consent required for special students and non-JHSPH students.

For consent, contact:

Special Comments:

You must register for one lab 340.953 when you register for this course. Labs begin at 10:15 AM. Stata is used in the course. Students can use the program on the Computer Labs on campus.