Related Experiment Video
Updated: Mar 30, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
A small n sequential multiple assignment randomized trial design for use in rare disease research
Roy N Tamura1, Jeffrey P Krischer1, Christian Pagnoux2
1Health Informatics Institute, University of South Florida, Tampa, FL, United States.
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.
Insights
This study introduces a novel small n sequential multiple assignment randomized trial (snSMART) for rare diseases. The snSMART design enhances statistical power in clinical trials with limited patient populations.
Area of Science:
- Clinical trial design
- Rare disease research
- Biostatistics
Background:
- Conducting clinical trials for rare diseases is challenging due to small patient populations.
- No standard therapy exists for the rare disease studied.
- A novel trial design was needed to efficiently evaluate multiple treatments.
Purpose of the Study:
- To illustrate the design of a small n sequential multiple assignment randomized trial (snSMART).
- To detail the sample size estimation and operating characteristics of the snSMART design.
- To present a viable clinical trial methodology for rare diseases.
Main Methods:
- The study employed computer simulations to investigate the performance of weighted Z statistics.
- The snSMART design allows for sequential treatment assignments and adaptive sample size allocation.
- Operating characteristics were evaluated under various weighting schemes for different trial stages.
Main Results:
- The snSMART design demonstrated increased statistical power compared to traditional single-stage trial designs.
- Simulation results showed how power is influenced by the weighting assigned to each stage of the trial.
- The effectiveness of the snSMART approach was quantified through performance metrics.
Conclusions:
- The snSMART design is a promising approach for rare disease clinical trials.
- This design is particularly suitable when multiple treatments are being considered and small sample sizes are required.
- The snSMART methodology offers an efficient strategy for rare disease drug development.
Related Concept Videos
Randomized Experiments
Simple randomization
Simple...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs
Crossover Experiments
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
Group Design

