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 3: Randomized Controlled Experiments, Part I

• Theory: Potential Outcomes with Dean David B. Allison of Indiana University-Bloomington
• Methods for Randomization (Including Cluster Randomization, Stratifies, Choice of Allocation Rations, Adaptive, Etc.) with Dr. Scarlett Bellamy of the University of Pennsylvania
• Power & Sample Size Calculation with Dr. Michael Oakes of the University of Minnesota
• Choice of Control Condition Based on Hypothesis and Anticipated Claims with Dr. Kevin Fontaine of the University of Alabama at Birmingham
• Controlling for Expectancy and Not-Specific Effects with Dr. Jack Raglin of Indiana University-Bloomington