RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
A small sample randomized clinical trial methodology using N-of-1 designs and mixed model analysis
Ridenour, T. A., Hall, D. L., & Bost, J. E. (2009). A small sample randomized clinical trial methodology using N-of-1 designs and mixed model analysis. American Journal of Drug and Alcohol Abuse, 35(4), 260-266. https://doi.org/10.1080/00952990903005916
BACKGROUND/OBJECTIVES: To date, research on substance abuse prevention relied extensively on large sample randomized clinical trials to evaluate intervention programs. These designs are appropriate for certain types of randomized prevention trials (e.g., efficacy or effectiveness for broad populations) but are unfeasible for other prevention science scenarios (e.g., rare pathologies, pilot studies, or replication tests at specific locales).
METHODS: An alternative randomized clinical trial is described that relies on much smaller samples, less resources than the large sample designs, randomization, N-of-1 designs for the intervention group, and mixed model analysis.
RESULTS: This methodology is illustrated using a small sample prevention study, which demonstrates its statistical power, flexibility, and sophistication for experimental testing of prevention-oriented research questions.
SCIENTIFIC SIGNIFICANCE: This methodology can be applied to many existing prevention datasets to facilitate secondary analyses of existing datasets as well as novel studies. It is hoped that such efforts will include further development of the small sample design in substance abuse prevention contexts.