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340.753.41
Epidemiologic Methods 3

Location
Internet
Term
3rd Term
Department
Epidemiology
Credit(s)
5
Academic Year
2023 - 2024
Instruction Method
Synchronous Online
Class Time(s)
Monday, 9:00 - 9:50am
Lab Times
Monday, 10:00 - 11:50am (01)
Wednesday, 10:00 - 11:50am (01)
Monday, 10:00 - 11:50am (02)
Wednesday, 10:00 - 11:50am (02)
Monday, 10:00 - 11:50am (03)
Friday, 10:00 - 11:50am (03)
Monday, 10:00 - 11:50am (04)
Friday, 10:00 - 11:50am (04)
Lab Note
Sections 340.953.01-340.953.03 will be held on-site, and students will attend lab and work in lab groups in-person. To accommodate students who are not able to participate in-person, lab section 340.953.04, will be held remotely on M/F via Zoom. Students will be assigned to a lab group in the lab section for which they are registered.
Auditors Allowed
No
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

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).

Description
Expands on the presentation of modern epidemiologic inference, emphasizing the theory and practice of epidemiologic data analysis. Develops an understanding of the underlying principles & assumptions, practical application, and correct interpretation of epidemiologic results using appropriate multivariable models. Covers detection and analysis of confounding and effect modification using multivariable models in the context of major epidemiological study designs. Provides experience through laboratory exercises by 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:
  • 35% Midterm
  • 35% Final Exam
  • 5% Project(s)
  • 10% Quizzes
  • 10% Lab attendance
  • 5% Course readiness evaluation and preparation
Enrollment Restriction
No auditors permitted.
Special Comments

This is a hybrid course with both an onsite section (340.753.01) and synchronous online section (340.753.41). Please choose the modality you need (either in-person or online) when registering in SIS. You must register for the appropriate 340.753 section and one of the lab sections, 340.953.01 – 340.953.04. Lab Sections are offered either M/W or M/F from 10:00AM ET until 11:50AM ET.

Lab sections 340.953.01-340.953.03 will be held on-site, and students will attend lab and work in lab groups in-person. To accommodate students who are not able to participate in-person, lab section 340.953.04, will be held remotely on M/F via Zoom. When selecting a lab section, be sure that it is being offered in a modality that works for your circumstances (e.g., do not register for section 340.953.01 - 340.953.03 if you do not plan to attend in person!). Students will be assigned to a lab group in the lab section for which they are registered.

LiveTalk sessions will be held on Mondays from 9-9:50. Students are expected to view weekly lecture content PRIOR to the LiveTalks and labs