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Published on: September 20, 2019
A small sample randomized clinical trial methodology using N-of-1 designs and mixed model analysis
Ty A Ridenour1, Deanne L Hall, James E Bost
1Center for Education and Drug Abuse Research, University of Pittsburgh, Pittsburgh, Pennsylvania 15261, USA.
A new small-sample randomized clinical trial methodology offers a powerful and flexible alternative for substance abuse prevention research. This approach is suitable for rare conditions, pilot studies, and local replication, enhancing experimental testing capabilities.
Area of Science:
- Prevention Science
- Substance Abuse Research
- Clinical Trials
Background:
- Traditional large-sample randomized clinical trials (RCTs) are standard in substance abuse prevention research.
- However, these designs are often infeasible for specific scenarios like rare pathologies, pilot studies, or localized replication.
Purpose of the Study:
- To introduce and illustrate an alternative RCT methodology for substance abuse prevention research.
- To demonstrate a method that overcomes limitations of large-sample designs.
Main Methods:
- The proposed methodology utilizes smaller sample sizes and fewer resources compared to traditional RCTs.
- It incorporates randomization, N-of-1 designs for the intervention group, and mixed-model analysis.
Main Results:
- A small-sample prevention study using this methodology demonstrated its statistical power.
- The approach proved flexible and sophisticated for experimental testing of prevention research questions.
Conclusions:
- This small-sample RCT methodology is applicable to existing prevention datasets for secondary analyses and novel studies.
- Further development of this design in substance abuse prevention is encouraged to expand research capabilities.
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