# AAA: Triple-adaptive Bayesian designs for the identification of optimal dose combinations in dual-agent dose-finding trials

## TL;DR

This paper introduces AAA, a novel flexible Bayesian design with three adaptive features for identifying optimal dose combinations in dual-agent clinical trials, improving inference, efficiency, and trial duration.

## Contribution

The AAA design is the first to simultaneously incorporate adaptive model selection, dose insertion, and cohort division in dual-agent dose-finding trials.

## Key findings

- Improves statistical inference accuracy
- Enhances probability of identifying optimal doses
- Reduces trial duration

## Abstract

We propose a flexible design for the identification of optimal dose combinations in dual-agent dose-finding clinical trials. The design is called AAA, standing for three adaptations: adaptive model selection, adaptive dose insertion, and adaptive cohort divi- sion. The adaptations highlight the need and opportunity for innovation for dual-agent dose finding, and are supported by the numerical results presented in the proposed simulation studies. To our knowledge, this is the first design that allows for all three adaptations at the same time. We find that AAA improves the statistical inference, enhances the chance of finding the optimal dose combinations, and shortens the trial duration. A clinical trial is being planned to apply the AAA design.