title: Randomised trials for the Fitbit generation.
abstract: Data from activity trackers and mobile phones can be used to craft personalised health interventions. But measuring the efficacy of these "treatments" requires a rethink of the traditional randomised trial.
authors.affiliation: Postdoctoral research fellow at the University of Michigan, Department of Statistics.
authors.forename: Walter
authors.initials: W
authors.lastname: Dempsey
authors.affiliation: Graduate student at the University of Michigan, Department of Statistics.
authors.forename: Peng
authors.initials: P
authors.lastname: Liao
authors.affiliation: Assistant professor of information, School of Information, and assistant professor of health behavior and health education, School of Public Health at the University of Michigan.
authors.forename: Pedja
authors.initials: P
authors.lastname: Klasnja
authors.affiliation: Research assistant professor at the Survey Research Center, Institute for Social Research, University of Michigan.
authors.forename: Inbal
authors.initials: I
authors.lastname: Nahum-Shani
authors.affiliation: H.E. Robbins Distinguished University Professor of Statistics, professor of psychiatry, and research professor, Institute for Social Research at the University of Michigan.
authors.forename: Susan A
authors.initials: SA
authors.lastname: Murphy