Ellis, D. A. (under contract). Smartphones within psychological science Cambridge University Press

McQueenie, R., Ellis, D. A., McConnachie, A., Wilson, P and Williamson, A. E. (in press). Morbidity, mortality and missed appointments in healthcare: a national retrospective data linkage study. BMC Medicine

Geyer, K., Ellis, D. A. and Piwek, L. (online first). A simple location tracking app for psychological research. Behavior Research Methods LINK

Ellis, D. A. and Piwek, L. (2018). Failing to encourage physical activity with wearable technology: what next? Journal of the Royal Society of Medicine, 111(9),310-313 LINK

Wilcockson, T. D. W., Ellis, D. A. and Shaw, H. (2018). Determining typical smartphone usage: What data do we need? Cyberpsychology, Behavior and Social Networking,21,6,395-398 LINK

Shaw, H., Ellis, D. A. and Ziegler, F. (2018). The technology integration model (TIM): A new theory to predict technology adoption and use. Computers in Human Behavior,83,204-214 LINK

Ellis, D. A. and Merdian, H. L. (2018). The visualisation of data in a digital context. In Costa C. and Condie J. (Eds.) Doing research in and on the digital: Research methods across fields of enquiry (pp. 137-153). London: Routledge

Ellis, D. A., Luther, K. and Jenkins, R. (2018). Missed appointments during shifts to and from daylight saving time. Chronobiology International,35(4),584-588 LINK

Ellis, D. A. and Renouf, K.J. (2018). Predicting fear of crime: Personality outperforms prior victimisation. The Journal of Forensic Psychiatry and Psychology,29(3),403-418 LINK

Ellis, D. A., McQueenie, R., McConnachie, A., Wilson, P and Williamson, A. E. (2018). Non-attending patients in general practice. The Lancet Public Health,3(3),e113 LINK

Ellis, D. A., Kaye, L. K., Wilcockson, T. D. and Ryding, F. C. (2018). Digital traces of behavior within addiction: Response to Griffiths (2017). International Journal of Mental Health and Addiction,16(1),240-245 LINK

Ellis, D. A.^*, McQueenie, R.^*, McConnachie, A., Wilson, P and Williamson, A. E. (2017). Demographic and practice factors predicting repeated non-attendance in primary care: A national retrospective cohort analysis. The Lancet Public Health, 2(12),e551-e559 LINK

^*Joint first authors

Ellis, D. A. & Piwek, L. (2017). When wearable devices fail: Towards an improved understanding of what makes a successful wearable intervention. Paper presented at the 1st GetAMoveOn Annual Symposium. LINK

Mozos, O. M., Sandulescu, V., Andrews, S., Ellis, D., Bellotto, N., Dobrescu, and Ferrandez, J. M. (2017). Stress detection using wearable physiological and sociometric sensors. International Journal of Neural Systems, 27(2),1650041 LINK

Williamson, A., Ellis, D. A., Wilson, P., McQueenie, R. and McConnachie, A. (2017). Understanding repeated non-attendance in health services - pilot analysis of administrative data and full study protocol. BMJ Open, 7(2), e014120 LINK