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340.753.01
Epidemiologic Methods 3

Location
East Baltimore
Term
3rd Term
Department
Epidemiology
Credit(s)
5
Academic Year
2012 - 2013
Instruction Method
TBD
Class Time(s)
M, W, F, 8:30 - 9:50am
Lab Times
Monday, 10:00 - 11:50am (01)
Friday, 10:00 - 11:50am (01)
Monday, 10:00 - 11:50am (02)
Friday, 10:00 - 11:50am (02)
Monday, 10:00 - 11:50am (03)
Wednesday, 10:00 - 11:50am (03)
Monday, 10:00 - 11:50am (04)
Wednesday, 10:00 - 11:50am (04)
Auditors Allowed
No
Available to Undergraduate
No
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
Third offering in the Epidemiologic Methods sequence. Expands on the presentation of modern epidemiologic inference emphasizing the theory and practice of epidemiologic data analysis. Covers, in detail, 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 the 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. Conduct and interpret epidemiologic analyses from a range of multivariable models (including linear, logistic, and Cox regression models)
  3. Account for the presence of confounding bias using both stratified approaches and multivariable regression
  4. Identify and critically evaluate different approaches to modeling complex exposures including dose-response relationships & time-varying exposures
  5. Analyze data for the presence of effect modification
  6. Critically discuss model limitations with respect to: misspecification, outliers and residual bias
Enrollment Restriction
No auditors permitted.
Special Comments

You must register for one lab 340.953 when you register for this course. Labs begin at 10:15 AM.