Methods for Behavioral Research: An Overview of Complier Average Cause Effect
At the Building Healthy Behaviors Across the Life Span (BBAL) virtual meeting at noon, Friday, March 20, Shijun Zhu, PhD, DrE, professor, will provide an overview of Complier Average Cause Effect (CACE) modeling and use a current study to highlight this method as an alternative to traditional approaches such as intention-to-treat and per-protocol analyses. He will also discuss how to implement CACE within a Structural Equation Modeling framework to estimate causal effects when not all participants adhere to the assigned intervention.