Xu Jing

Assistant Professor

Email

Contact: 66018053

Bio Research Publications

Dr Kenny Jing Xu is a Research Assistant Professor of the Programme in Health Services and Systems Research and the Centre of Quantitative Medicine, Duke-NUS Medical School, Singapore. Prior to the current role, Dr Xu has been working as an Assistant Professor at Data Science Programme, Division of Science and Technology, Beijing Normal University-Hong Kong Baptist University United International College, China. He is a former Post-Doctoral Research Fellow at Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore. Dr Xu awarded PhD in statistics at Macquarie University, Australia. Dr Xu is a well-rounded statistician with broad interest and expertise in both methodology and applications. His research interest primarily focuses on proposing novel statistical methodologies either in experimental design or data analysis through collaborations, especially in mobile health studies.

Research Interest

Survival Analysis, Sequential Multiple Assignment Randomized Trial, Micro-Randomized Trial, Applied Statistics in Medicine.

  1. Figueroa, C.A, Hernandez-Ramos, R., Boone, C., Gomez, L., Yip, V., Luo, T., Sierra, V., Xu, J., Chakraborty, B., Darrow, S., Aguilera, A. (2020). A text-messaging study to help cope with social distancing: clinical trial protocol for the Stay Well at Home study. Submitted to JMIR Research Protocols.
  2. Xu, J., Yan, X., Figueroa, C.A., Williams, J.J. and Chakraborty, B. (2020). Multi-Level Micro-Randomized Trial for Detecting the Proximal Effect of a Mobile Application Messages on Physical Activity in Diabetes and Depression. arXiv, stat.ME, 2007.13741.
  3. Aguilera, A., Figueroa, C.A., Hernandez-Ramos, R., Sarkar, U., Cemballi, A.G., Gomez-Pathak, L., Miramontes, J., Avila-Garcia, P., Tov, E.Y., Chakraborty, B., Yan, X., Xu, J., Modiri, A., Aggarwal, J., Williams, J.J., Lyles, C.R. (2020). An mHealth app using machine learning to increase physical activity in diabetes and depression: clinical trial protocol for the DIAMANTE Study. BMJ Open. 10: e034723. doi:10.1136/bmjopen-2019-034723
  4. Xu, J., Bandyopadhyay, D., Mirzaeic, S., Michalowicz, B. and Chakraborty, B. (2019). SMARTp: A SMART design for non-surgical treatments of chronic periodontitis with spatially-referenced and non-randomly missing skewed outcome. Biometrical Journal, 62, 282-310.
  5. Xu, J., Ma, J., Connors, M.H. and Brodaty, H. (2018) Proportional hazard model estimation under dependent censoring using copulas and penalized likelihood. Statistics in Medicine, 37(14), 2238-2251.
  6. Xu, J., Ma, J. and Prvan, T. (2017) Nonparametric hazard estimation with dependent censoring using penalized likelihood and copula, Communication in Statistics-Theory and Methods, 46:22, 11383-11403.
  7. Xu, J. and Ma, J. (2016) Fitting finite mixture model by iterative Monte Carlo classification, Communication in Statistics-Theory and Methods, 46(13), 6684-6693. 
  8. Taylor, G. and Xu, J. (2016) An empirical investigation of the value of finalisation count information to loss reserving. Variance, 10:1, 75-120.
  9. Brodaty, H., Connors, M.H., Xu, J., Woodward, M. and Ames, D. (2015) The Course of Neuropsychiatric Symptoms in Dementia: A Three-Year Longitudinal Study. Journal of the American Medical Directors Association, 16, 380-387.
  10. Brodaty, H., Connors, M.H., Xu, J., Woodwards, M., Ames, D. (2014) Predictors of Institutionalization in Dementia: A three Year Longitudinal Study. Journal of Alzheimer’s Disease, Vol. 40(1), 221-226.