Health Information Technology Commons^™

A Markov Approach For Increasing Precision In The Assessment Of Data-Intensive Behavioral Interventions, Vincent Berardi, Ricardo Carretero-González, John Belletierre, Marc A. Adams, Suzanne C. Hughes, Melbourne Hovell

Psychology Faculty Articles and Research

Health interventions using real-time sensing technology are characterized by intensive longitudinal data, which has the potential to enable nuanced evaluations of individuals’ responses to treatment. Existing analytic tools were not developed to capitalize on this opportunity as they typically focus on first-order findings such as changes in the level and/or slope of outcome variables over different intervention phases. This paper introduces an exploratory, Markov-based empirical transition method that offers a more comprehensive assessment of behavioral responses when intensive longitudinal data are available. The procedure projects a univariate time-series into discrete states and empirically determines the probability of transitioning from one …