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Statistical Science

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Tao Ding

PositionResearch Associate in Medical Statistics
Phone (external)+44 (0)20 7679 1223
Phone (internal)41223
Email(*)tao.ding.11
ThemesBiostatistics

* @ucl.ac.uk

Biographical Details

Tao is a Research Associate in Medical Statstics at the Department of Statistical Science at UCL and a member of the Biostatistics Group within the Research Support Centre. She has a BSc and PhD in Statistics from UCL.

Research Interests

Meta-analysis, risk prediction model, longitudinal data analysis, clinical trials, cost-effectiveness analysis, Markov models

Selected publications

  • Ding, T., Baio, G., Hardiman, P. J., Petersen, I., & Sammon, C. (2016). Diagnosis and management of polycystic ovary syndrome in the UK (2004–2014): a retrospective cohort study. BMJ open, 6(7), e012461.
  • Ding, T., Hardiman, P. J., Petersen, I., Wang, F. F., Qu, F., & Baio, G. (2017). The prevalence of polycystic ovary syndrome in reproductive aged women of different ethnicity: a systematic review and meta-analysis. Oncotarget, 31(12), 2841-2855.
  • Ding, T., Hardiman, P.J., Petersen, I., Baio, G. Incidence and prevalence of diabetes and cost of illness analysis of polycystic ovary syndrome: a Bayesian modelling study. Hum Reprod, 33(7):1299-1306.