A Novel Group Sequential Design for Sequential Multiple Assignment Randomized Trial

The sequential multiple assignment randomized trial (SMART) design offers an innovative approach for efficiently selecting optimal adaptive treatment strategies (ATSs) from a set of candidate treatment strategies. By incorporating interim monitoring, the group sequential SMART design reduces both the trial duration and sample size while maintaining overall efficiency. However, existing SMART designs that incorporate interim analysis rely on global tests, which are inadequate for addressing the challenges of selecting the optimal subset of ATSs and performing early termination of ineffective strategies. In this study, we propose a novel group-sequential SMART design to improve the efficiency of clinical trials in identifying the most optimal subset of ATSs in a way that aligns with the nuances of clinical practice. This design allows for the early termination of less efficacious treatments, reducing the required sample size and increasing the likelihood of accurately identifying the optimal ATSs. The effectiveness of the proposed approach is demonstrated through simulation results.

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Publication Details

Journal
Statistics in Medicine
Published
2026-04-24
DOI
https://doi.org/10.1002/sim.70564
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Group Sequential Design for Sequential Multiple Assignment Randomized Trial

Chongyang Duan, Minggang Yin, Yuxuan Yang, Yixin Luo et al.
Statistics in Medicine
Statistical Methods in Clinical Trials
article

A Novel Group Sequential Design for Sequential Multiple Assignment Randomized Trial

Chongyang Duan, Minggang Yin, Yuxuan Yang, Yixin Luo, Shijie Yu, Xueqing Liang, Siyu Zhu
article en

Abstract

The sequential multiple assignment randomized trial (SMART) design offers an innovative approach for efficiently selecting optimal adaptive treatment strategies (ATSs) from a set of candidate treatment strategies. By incorporating interim monitoring, the group sequential SMART design reduces both the trial duration and sample size while maintaining overall efficiency. However, existing SMART designs that incorporate interim analysis rely on global tests, which are inadequate for addressing the challenges of selecting the optimal subset of ATSs and performing early termination of ineffective strategies. In this study, we propose a novel group-sequential SMART design to improve the efficiency of clinical trials in identifying the most optimal subset of ATSs in a way that aligns with the nuances of clinical practice. This design allows for the early termination of less efficacious treatments, reducing the required sample size and increasing the likelihood of accurately identifying the optimal ATSs. The effectiveness of the proposed approach is demonstrated through simulation results.

Statistics in MedicineVol. 45(10-12)
Southern Medical University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 8%
Statistical Methods in Clinical Trials
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