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Date: Wednesday, June 23rd, 2021

Time: 2:00PM - 3:30PM (EDT) 

Instructors: Janis Breeze, MPH and Angie Rodday, PhD

Learning Level: Fundamental

Primary Audience: Researchers, PIs, Postdoctoral and Graduate Students, Other Study Team Members

Prerequisite: Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Skills Domain: Data Management and Informatics, Scientific Concepts and Research Design

What are the appropriate analytical techniques for study designs and what measures of association, advantages and disadvantages should be used?

This seminar will provide an introduction to epidemiologic study design, including cross-sectional, cohort, and case-control studies. It will review the appropriate analytical techniques for each design along with their measures of association, advantages and disadvantages, and the types of biases that can be present with each. Examples from the literature will be provided to illustrate concepts and common pitfalls that may occur when analyzing data from observational studies. This course is part of a series of trainings in biomedical data science offered by the Center for Quantitative Methods and Data Science, Tufts Clinical and Translational Science Institute, and Tufts University Data Intensive Studies Center. For the full list of trainings in this series, please visit the Center for Quantitative Methods and Data Science webpage. Basic statistical knowledge is required. Computational experience will be helpful, but is not required.

Dates: Wednesday December 9th 12pm-1:00pm  
Location: Zoom  
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 This Course is Free