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Causal Inference in Behavioral Obesity Research: MODULE 2 is a Course

Causal Inference in Behavioral Obesity Research: MODULE 2

Started Nov 14, 2019


Full course description

About This Webinar Series

The nine modules in this webinar series provide rigorous exposure to the key fundamental principles of causal inference in behavioral obesity research. A broad array of techniques and experience in applying those principles in research are addressed by experts in their fields.

Please take a look at the entire Webinar Series agenda.

Module 2: Conventional Observational Studies: Advantages, Limits, and Best Practices

  • Best practices with Dr. Douglas Weed of DLW Consulting
  • Advantages with Dr. Yiqing Song of Indiana University-Purdue University Indianapolis
  • Limits I – Theory: Bias and Confounding with Dr. Dominik Alexander of Meta Method Health
  • Limits II – Empirical: Evidence & Case Studies of Confirmation and Non-Confirmation of Observational Study-Generated Hypotheses with Dr. Andrew Brown of Indiana University-Bloomington

With Welcoming Remarks By...

Dean David B. Allison of Indiana University-Bloomington and Dr. Kevin Fontaine of the University of Alabama at Birmingham


Length: 3 hours


School of Public Health


Credit: Certificate


Audience: Everyone

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