Essentials of Clinical and Translational Science (ECaTS)

Are you ready to take a deeper dive into the world of clinical and translational science?

Essentials of Clinical and Translational Science (ECaTS) provides medical professionals with foundational knowledge of research terminology, research methods and processes, clinical epidemiology, and biomedical statistics.

Upon completion, learners understand basic terminology and methodological concepts in epidemiology from a clinical perspective and basic statistical methods used in a variety of clinical study designs. The program prepares learners to critically review medical literature such as scholarly publications.

Program highlights

  • 30 hours of learning you can take anytime and anywhere.
  • Self-directed and self-paced (asynchronous).
  • Aligns with Accreditation Council for Graduate Medical Education (ACGME) practice-based learning and improvement competency (IV.A.5.b and IV.A.5.c) (ACGME Common Program Requirements).
  • Includes content assessed on the United States Medical Licensing Examination (USMLE) Step 1 exam under the competency of "Practice-Based Learning and Improvement," which requires understanding and application of the principles of biostatistics and epidemiology (USMLE Step 1 Content Outline and Specifications).


A nonrefundable program fee of $500 per participant, paid via credit card, is charged upon successful registration.


Register here

  • If you are having problems with registration or course access, please contact:

Disclaimer: The content and program do not fulfill prerequisite requirements for Mayo Clinic Graduate School of Biomedical Sciences graduate credit courses or transfer to the CCaTS Postdoctoral Master's Degree Program or Postdoctoral Certificate Program.

Learning Objectives
  • Describe the differences between observational and experimental study designs
  • Discuss the differences between reliability and validity, and their implications in epidemiologic studies
  • Compare and contrast epidemiologic study designs and their relative strengths and weaknesses
  • Discuss the concepts of confounding, bias, variable interactions and mediation and how they might influence inference in epidemiologic studies
  • Interpret the standard measurements used for evaluating diagnostic tests; discuss how these are applied in the population context and how screening programs are evaluated
  • Develop the ability to interpret the results of a variety of basic statistical techniques, including both exploratory and inferential methods
  • Develop the ability to recognize, define and differentiate fundamental concepts of statistics, such as variability, distribution, association, causation, sampling, experimentation, confidence and significance
  • Develop tools to determine appropriate statistical methods for different types of data and study designs
  • Develop a critical perspective with which to assess and defend statistical arguments, such as those in scholarly publications
Scientific concepts and research design
Data management and informatics
On demand
Delivery Method

Submitted by Adam Wissman on Mon, 02/18/2019 - 16:19 . Last modified on 10/27/2020