Adding experimental treatment arms to Multi-Arm Multi-Stage platform trials in progress
Thomas Burnett, Franz K\"onig, Thomas Jaki

TL;DR
This paper presents a method using the conditional error approach to add new treatment arms to ongoing Multi-Arm Multi-Stage platform trials, maintaining error control and improving trial flexibility.
Contribution
It introduces a framework for incorporating unplanned treatment arms into ongoing MAMS trials while preserving the family-wise error rate.
Findings
Demonstrates how to update testing procedures for adding arms in progress
Uses simulations to evaluate operating characteristics of the proposed method
Provides a practical approach for flexible trial modifications
Abstract
Multi-Arm Multi-Stage (MAMS) platform trials are an efficient tool for the comparison of several treatments. Suppose we wish to add a treatment to a trial already in progress, to access the benefits of a MAMS design. How should this be done? The MAMS framework requires pre-planned options for how the trial proceeds at each stage in order to control the family-wise error rate. Thus, it is difficult to make both planned and unplanned design modifications. The conditional error approach is a tool that allows unplanned design modifications while maintaining the overall error rate. In this work, we use the conditional error approach to allow adding new arms to a MAMS trial in progress. We demonstrate the principles of incorporating additional hypotheses into the testing structure. Using this framework, we show how to update the testing procedure for a MAMS trial in progress to…
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Taxonomy
TopicsStatistical Methods in Clinical Trials · Optimal Experimental Design Methods · VLSI and Analog Circuit Testing
