School of Public Health

EPI 516 STATISTICAL METHODS IN GENETIC EPIDEMIOLOGY

EPI 516 Advanced Epidemiologic Methods Ii (4)

Second of a series of 2 courses whose objective is to deepen students' knowledge of epidemiological principles by introducing methodological approaches to handling common problems in epidemiologic research that extend beyond the scope of traditional methods. Prerequisite: EPI 515. Offered: jointly with BIOST 520.

Line Number Section ID Credits Days/Times Room/Bldg Instructor
This course is not offered during the current quarter. For more info, please see the Epidemiology Course Planning Sheet at the link below.
For a complete listing of Epidemiology courses, their elective categories, and when they are typically offered, please see the Epidemiology Course Planning Sheet

Additional Course Details

EPI 516 is the second course in a two-course sequence on advanced epidemiologic methods. If you plan to take EPI 516 offered in Spring Quarter you should take Epi 515 in the Autumn quarter in preparation. In completing this part of the EPI 515-516 sequence, you will apply the concepts learned in EPI 515 and gain a greater understanding of the analytic methods available to address challenges present in epidemiologic studies. It is assumed that after completing the EPI 515-516 series, you will actually be conducting and analyzing research using epidemiologic study designs in the future. You are required to take the EPI 515-516 series if you are a doctoral student in epidemiology. You are also encouraged to take the EPI 515-516 series if you are a masters student and are interested in additional methodological training or a graduate student in another department and need or desire an exposure to advanced epidemiologic methods in order to apply them as research tools in your field.

Topics Covered

  • Mediation analysis
  • Approaches to statistical inference
  • Multiple comparisons
  • Propensity scores
  • Inverse probability weighting
  • Alternative study designs
  • Marginal structural models

Learning Objectives

  • Critically read and interpret epidemiologic studies that apply advanced methods for analysis and interpretation
  • Recognize how advanced methods relate to and build upon more traditional epidemiologic methods
  • Demonstrate an ability to identify appropriate situations for the application of various advanced epidemiologic methods
  • Demonstrate proficiency in self-direct learning about a specific analytical problem and critically evaluate alternative statistical methods to apply to the situation
  • Effectively converse with epidemiologist and biostatistician colleagues about application of advanced epidemiologic methods, in a manner necessary for successful collaboration

Course Format

Lectures and interactive exercises

How You Are Evaluated

  • Homework assignments
  • Mini data analysis project
  • Group presentation
  • Online discussion board participation
  • In-class participation

Contact the Instructor

Brandon Guthrie (brguth@u.washington.edu)