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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

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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

 

Department: 
School of Public Health

 

Credit: Certificate

 

Audience: Everyone

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