B1010
Title: Causal inference methods for multiple treatment group evaluations
Authors: Hongwei Zhao - Texas A&M University (United States) [presenting]
Abstract: Causal inference methods are discussed for comparing treatment effects when multiple treatment groups are present. Key ideas of causal inference and the potential outcome framework will be reviewed, and several propensity score-based methods will be considered. Additionally, machine-learning methods will be applied to increase the flexibility of the model. Simulation studies will be conducted to compare the consistency and efficiency of different causal inference methods. Finally, these methods will be demonstrated using a real example where multiple treatment groups are involved.