Randomised trials for the Fitbit generation

Significance

Volumn 12, Issue 6, 2015, Pages 20-23

  Dempsey, Walter ^a   Liao, Peng ^a   Klasnja, Pedja ^b   Nahum Shani, Inbal ^a   Murphy, Susan A ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84951291446     PISSN: 17409705     EISSN: 17409713     Source Type: Journal    
DOI: 10.1111/j.1740-9713.2015.00863.x     Document Type: Article

References (7)

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3. Rabbi, M., Pfammatter, A., Zhang, M., Spring, B. and Choudhury, T., (2015) Automated personalized feedback for physical activity and dietary behavior change with mobile phones: A randomized controlled trial on adults. Journal of Medical Internet Research mHealth and uHealth, 3(2), e42.
4. Lei, H., Tewari, A. and Murphy, S., (2014) An actor-critic contextual bandit algorithm for personalized interventions using mobile devices. Advances in Neural Information Processing Systems, 27.
5. Senn, S., (2001) Individual therapy: New dawn or false dawn? Drug Information Journal, 35, 1479-1494.
6. Dallery, J., Cassidy, R. and Raiff, B., (2013) Single-case experimental designs to evaluate novel technology-based health interventions. Journal of Medical Internet Research, 15(2), e22.
7. Kratochwill, T. and Levin, J., (2010) Enhancing the scientific credibility of single-case intervention research: Randomization to the rescue. Psychological Methods, 15, 124-144.