Journal
CONTEMPORARY CLINICAL TRIALS
Volume 46, Issue -, Pages 48-51Publisher
ELSEVIER SCIENCE INC
DOI: 10.1016/j.cct.2015.11.010
Keywords
Re-randomization; Binary data; Weighted Z statistic
Funding
- Vasculitis Clinical Research Consortium (VCRC), Rare Diseases Clinical Research Network (RDCRN) [U54 AR057319, U01 AR51874 04]
- Office of Rare Diseases Research (ORDR)
- NCATS
- National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS)
- National Center for Research Resources [U54 RR019497]
- Data Management and Coordinating Center, (DMCC) [U01 TR001263]
- RDCRN
- National Center for Advancing Translational Science (NCATS)
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Background: Clinical trials in rare diseases are difficult to conduct due to the limited number of patients available with each disorder. We developed a Phase 2 trial which is a small n sequential multiple assignment randomized trial (snSMART) design to test several treatments for a rare disease for which no standard therapy exists. Purpose: This paper illustrates the design, sample size estimation and operating characteristics of an snSMART. Methods: We investigate the performance of a class of weighted Z statistics via computer simulations. Results: We demonstrate the increase in power over traditional single stage designs, and indicate how the power changes as a function of the weight given to each stage. Conclusion: The snSMART design is promising in a rare disease setting where several alternative treatments are under consideration and small sample sizes are necessary. (C) 2015 Elsevier Inc. All rights reserved.
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