Training on Optimization of Behavioral and Biobehavioral Interventions
The goal of this training is to help familiarize NIH staff with some new methods for optimization of behavioral and biobehavioral interventions. The training will cover the multiphase optimization strategy (MOST), an engineering-inspired framework for development, optimization, and evaluation of behavioral and biobehavioral interventions. The morning will focus on methods for optimizing fixed interventions, and the afternoon will focus on optimization of time-varying adaptive interventions via the sequential multiple-assignment randomized trial (SMART).
NIH has funded numerous trials using these approaches, which are generating considerable interest in behavioral science. It is likely that prospective grantees will wish to discuss these methods with NIH staff, and that scientific review administrators will see the methods included in funding applications.
Linda M. Collins, Ph.D. - Presentation slides
Director, The Methodology Center
Distinguished Professor of Health and Human Development and Professor of Statistics, Penn State
Linda M. Collins is the primary developer of the multiphase optimization strategy (MOST), a comprehensive, principled, engineering-inspired framework for developing, optimizing, and evaluating behavioral and biobehavioral interventions. She collaborates with intervention scientists to develop optimized interventions in a broad range of health areas including tobacco cessation, weight loss, prevention of sexually transmitted infections, and HIV prevention and treatment services.
Daniel Almirall, Ph.D. - Presentation Slides
Research Assistant Professor, Institute for Social Research, University of Michigan
Investigator, The Methodology Center
Daniel Almirall is an expert in methods used to develop or evaluate adaptive interventions (AIs). AIs can be used to inform individualized treatment guidelines for the on-going management of chronic illnesses or disorders such as drug abuse, autism, depression, obesity, or HIV/AIDS. Mr. Almirall’s expertise includes the design, execution, and analysis of sequential multiple assignment randomized trials (SMARTs) for building optimal adaptive interventions.
- Multiphase optimization strategy (MOST)
- Factorial and fractional factorial screening experiments
- Optimization criteria
- Adaptive interventions
- Sequential, multiple-assignment randomized trial (SMART)
8:30 – 9:00 am Registration
9:00 – 10:30 am Introduction to the multiphase optimization strategy (MOST), Part 1
10:30 – 10:45 am Break
10:45 am – 12:00 pm Introduction to the multiphase optimization strategy (MOST), Part 2
12:00 – 1:00 pm Lunch (on your own)
1:00 – 2:30 pm Adaptive interventions and the sequential multiple assignment randomized trial (SMART), Part 1
2:30 – 2:45 pm Break
2:45 – 4:00 pm Adaptive interventions and the sequential multiple assignment randomized trial (SMART), Part 2
Sponsors: Office of Behavioral and Social Sciences Research (OBSSR)