Evaluating the effect of smoking cessation treatment on a complex dynamical system
Published in Drug and Alcohol Dependence, 2017
Recommended citation: Bekiroglu, K., Russell, M. A., Lagoa, C. M., Lanza, S. T., & Piper, M. E. (2017). Evaluating the effect of smoking cessation treatment on a complex dynamical system. Drug and Alcohol Dependence, 180, 215-222. https://www.sciencedirect.com/science/article/abs/pii/S0376871617304234
Smoking cessation trials produce intensive longitudinal measurements of craving, negative affect, self-efficacy, and treatment adherence. This work applied dynamical-systems modeling and system identification methods to evaluate how cessation treatment influences the coupled evolution of these behavioral states over time. By treating each participant’s trajectory as the output of an identifiable dynamical system, the analysis quantifies treatment effects in a way that captures individual-level dynamics rather than aggregate averages — supporting the design of adaptive, personalized interventions.