Randomised Trials for the Fitbit Generation
Year: 2015
Type: article
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. By Walter Dempsey, Peng Liao, Pedja Klasnja, Inbal Nahum-Shani and Susan A. Murphy
Source: Significance
Institutions: University of Michigan, Institute for Social Research
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
Awards: Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) - OVERALL, Center for Complex Data to Knowledge in Drug Abuse and HIV Behavioral Science, Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIV, Data-Based Methods for Just-In-Time Adaptive interventions in Alcohol Use, ADAPT: Enabling robust adaptation in mHealth interventions for supporting maintenance of heart-healthy behaviors
OpenAlex ID: W2252409454