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Translational Health Research Design

Course Description

This graduate-level course provides an overview of the research designs common in translational health research. This course will provide students foundational understanding of a variety of research designs including the creation of defensible and meaningful hypotheses, bias potential, strengths, and limitations. Students will explore when different research designs are most appropriate for the scientific knowledge, the context, and the community support. The course provides foundational work for the HOBI and Implementation Science advanced methods courses.

Student Learning Outcomes

By the end of this course, the student should be able to:

  1. Demonstrate a fundamental understanding of key concepts for translational health research designs including individual randomized trials, group randomized trials, quasi-experimental studies, cohort and longitudinal studies, case-control designs, and descriptive studies.
  2. Propose and defend feasible hypotheses and translational health research designs to answer clinically meaningful questions.
  3. Critique and devise research designs that incorporate mixed methods and multilevel determinates.
  4. Apply translational health research designs to implementation science questions.


A graduate-level statistics course. If you have not taken a graduate-level statistics course, the instructor will administer a short test to assess your capabilities of statistics as it relates to the course.

At a Glance