Training Program Title

Essentials of Clinical and Translational Science (ECaTS)

Contributor

Mayo Clinic

ECaTS_Flyer.png (357 kB)

CTSA Hub Administered

yes

Contact Information

Wissman.adam@mayo.edu

Training Program Description

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.

Competency Keywords

Study design, Responsible conduct of research, Research study management, Biostatistics

Digital Commons Disciplines

Medical Education

Public

yes

Cost to Access

yes

Competency Domains

Scientific Concepts and Research Design; Ethical and Participant Safety Considerations; Clinical Trials Operations

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

Delivery Method

Online

Target Learners

MDs including residents, house officers, fellows, hospitalists; Undergraduate, graduate or professional degree students; Post-doctoral scholars

Learning Level

Skilled

Onboarding

no

Frequency

On demand

Time Needed

30 hours

Associated Assessment

yes

Assessment Methods

Overall satisfaction, Learning outcomes

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