Recommended Reading for Optimizing Behavioral Interventions
Collins, L. M., Kugler, K. C., & Gwadz, M. V. (2015). Optimization of multicomponent behavioral and biobehavioral interventions for the prevention and treatment of HIV/AIDS. Aids Behavior, Supp 1, 197-214.
Collins, L. M., Nahum-Shani, I., & Almirall, D.(2014). Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART). Clinical Trials, 11, 426-434.
Implementations of MOST
These articles describe the thinking behind some implementations of MOST or related approaches in field settings. They describe factorial experiments in varying stages of completion.
Rationale for factorial experiments
These articles review practical aspects of experimental design relevant to intervention science, and also attempt to correct some pervasively held misconceptions. These articles provide a rationale for considering a factorial experiment and may be useful citations.
Chakraborty, B., Collins, L. M., Strecher, V., & Murphy, S. A. (2009). Developing multicomponent interventions using fractional factorial designs. Statistics in Medicine28, 2687-2708. PMCID: PMC2746448
Collins, L.M., Dziak, J.J., Kugler, K.C., & Trail, J.B. (2014). Factorial experiments: Efficient tools for evaluation of intervention components. American Journal of Preventive Medicine, 47, 498-504.
Collins, L. M., Dziak, J. J., & Li, R. (2009). Design of experiments with multiple independent variables: A resource management perspective on complete and reduced factorial designs. Psychological Methods, 14(3), 202-224. PMCID: PMC2796056
Dziak, J. J., Nahum-Shani, I., & Collins, L. M. (2012). Multilevel factorial experiments for developing behavioral interventions: Power, sample size, and resource considerations. Psychological Methods, 17, 153. PMCID: PMC3351535
Nair, V., Strecher, V., Fagerlin, A., Ubel, P., Resnicow, K., Murphy, S. A., Little, R., Chakraborty, B., & Zhang, A. (2008). Screening experiments and the use of fractional factorial designs in behavioral intervention research. American Journal of Public Health, 98, 1354-1359. PMCID: PMC2446451
Enhancing effectiveness through MOST
This article addresses the question “Is MOST really likely to produce more potent behavioral interventions in practice?” by means of an extensive statistical simulation:
Collins, L. M., Chakraborty, B., Murphy, S. A., & Strecher, V. (2009). Comparison of a phased experimental approach and a single randomized clinical trial for developing multicomponent behavioral interventions. Clinical Trials, 6(1), 5-15. PMCID: PMC2711350
Collins, L.M., Kugler, K., Trail, J.B., Baker, T., & Mermelstein, R. (2014). Evaluating individual intervention components: Making decisions based on the results of a factorial component screening experiment. Translational Behavioral Medicine, 4, 238-251.
Collins, L. M., Trail, J. B., Kugler, K. C., Baker, T. B., Piper, M. E., & Mermelstein, R. J. (2014). Evaluating individual intervention components: making decisions based on the results of a factorial screening experiment. Translational Behavioral Medicine, 4, 238-251. doi:10.1007/s13142-013-0239-7
Wyrick, D.L., Rulison, K.L., Fearnow-Kenney, M., Milroy, J.J., & Collins, L.M. (2014). Moving beyond the treatment package approach to developing behavioral interventions: Addressing questions that arose during an application of the multiphase optimization strategy (MOST). Translational Behavioral Medicine, 4, 252-259.
Dong, Y., Rivera D.E., Downs, D.S., Savage, J.S., Thomas, D.M., & Collins, L.M. (2013). Hybrid model predictive control for optimizing gestational weight gain behavioral interventions. Procedings from the 2013 American Control Conference. 1970-1975. PMCID: PMC3856197.
Timms, K.P., Rivera, D.E., Collins, L.M., & Piper, M.E. (2014). Continuous-time system identification of a smoking cessation intervention. International Journal of Control, 87, 1423-1437.
Timms, K. P., Rivera, D. E., Collins, L. M., & Piper, M. E. (2013). A dynamical systems approach to understand self-regulation in smoking cessation behavior change. Nicotine and Tobacco Research, 16, S159-168.
Timms, K. P., Rivera, D. E., Collins, L. M., & Piper, M. E. (2013). Control systems engineering for understanding and optimizing smoking cessation interventions.Proceedings from the 2013 American Control Conference.
Trail, J. B., Collins, L. M., Rivera, D. E., Li, R., Piper, M., & Baker, T. (2013). Functional data analysis for the system identification of behavioral processes. Psychological Methods, 19, 175-187.