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