Assessing Time-Varying Causal Effect Moderation in Mobile Health

Publication Abstract

Boruvka, Audrey, Daniel Almirall, Katie Witkiewitz, and Susan A. Murphy. Forthcoming. "Assessing Time-Varying Causal Effect Moderation in Mobile Health." Journal of the American Statistical Association.

In mobile health interventions aimed at behavior change and maintenance, treatments are provided in real time to manage current or impending high risk situations or promote healthy behaviors in near real time. Currently there is great scientific interest in developing data analysis approaches to guide the development of mobile interventions. In particular data from mobile health studies might be used to examine effect moderators?individual characteristics, time-varying context or past treatment response that moderate the effect of current treatment on a subsequent response. This paper introduces a formal definition for moderated effects in terms of potential outcomes, a definition that is particularly suited to mobile interventions, where treatment occasions are numerous, individuals are not always available for treatment, and potential moderators might be influenced by past treatment. Methods for estimating moderated effects are developed and compared. The proposed approach is illustrated using BASICS-Mobile, a smartphone-based intervention designed to curb heavy drinking and smoking among college students.; AbstractIn mobile health interventions aimed at behavior change and maintenance, treatments are provided in real time to manage current or impending high risk situations or promote healthy behaviors in near real time. Currently there is great scientific interest in developing data analysis approaches to guide the development of mobile interventions. In particular data from mobile health studies might be used to examine effect moderators?individual characteristics, time-varying context or past treatment response that moderate the effect of current treatment on a subsequent response. This paper introduces a formal definition for moderated effects in terms of potential outcomes, a definition that is particularly suited to mobile interventions, where treatment occasions are numerous, individuals are not always available for treatment, and potential moderators might be influenced by past treatment. Methods for estimating moderated effects are developed and compared. The proposed approach is illustrated using BASICS-Mobile, a smartphone-based intervention designed to curb heavy drinking and smoking among college students.

DOI:10.1080/01621459.2017.1305274 (Full Text)

Browse | Search : All Pubs | Next

PSC In The News

RSS Feed icon

Hoyt Bleakley and his papers quoted in the Washington Post

Pilkauskas discusses rise in 3-generation households

Eisenberg discusses rising mental health diagnoses among U.S. college students and impact of social media

More News

Highlights

Postdoctoral Fellowship NIA/NICHD - Call for Applications

H. Luke Shaefer honored with UM Faculty Recognition Award

More Highlights


Connect with PSC follow PSC on Twitter Like PSC on Facebook