40: Multivariate equivalence tests in Sequential Multiple Assignment Randomized Trial designs

Music City Center 

The Sequential Multiple Assignment Randomized Trial (SMART) is a design that involves multiple stages of randomization to evaluate dynamic treatment regimens. While most current SMART designs focus on univariate outcomes, there is a need to address complex real-world scenarios involving multivariate outcomes. In this study, we propose a multivariate framework for SMART designs. The primary objective is to assess whether continuation of responders from baseline interventions remains effective. Specifically, intersection-union test and Berger & Hsu test are adapted, and likelihood ratio non-parametric and parametric bootstrap tests are proposed to test equivalence across multiple outcomes. Simulation studies demonstrate the ability of the proposed approach to detect equivalence while maintaining control of type I error rates. This framework enhances the analytical tools available for SMART designs, offering researchers a powerful tool to optimize adaptive intervention strategies.

Multivariate equivalence

Intersection-union

SMART 

Biopharmaceutical Section