This section of the website is under construction. Check back as content is being added on a daily basis. Looking for something specific that you don’t see? Email email@example.com with questions and requests.
Behavioral and biobehavioral interventions for prevention and treatment are an important part of the fight against drug abuse and related conditions such as HIV/AIDS and Hepatitis C. They are also important in many other areas such as smoking cessation, weight management, and cancer. Among the challenges faced by scientists is how to optimize these interventions in order to achieve the greatest public health benefits.
The Multiphase Optimization Strategy (MOST)
Center researchers are developing the multiphase optimization strategy (MOST) to provide a framework for engineering efficacious and effective behavioral interventions. Conceptually rooted in engineering, MOST emphasizes efficiency and careful management of resources to move intervention science forward systematically. MOST can be used to guide the evaluation of research evidence, develop optimized interventions, and enhance Type I and Type II translation of research.
Factorial Experiments: Why and How They Work
MOST often uses factorial experimental designs to estimate main effects and interactions between factors efficiently. In the pages below, we explain how and why MOST uses factorial designs.
Center research on MOST is currently supported by the National Institute on Drug Abuse grant P50 DA039838, National Cancer Institute grant P01 CA180945, National Institute on Alcohol Abuse and Alcoholism grant R01 AA022931, and National Institute of Diabetes and Digestive and Kidney Diseases grant R01 DK097364. Significant support has been provided by National Institutes of Health grants R21 DA024266 and P50 DA010075.