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Liqun Diao

Research Assistant Professor

Liqun DiaoContact Information:
Liqun Diao


Research Interests

Professor Diao’s research interests lie in developing and applying statistical methods to advance knowledge in medicine and public health. Her current research effort is mainly devoted to analysis of event history processes, methodology development in recursive partitioning and the interface between the two.The first research area, analysis of event history processes is mainly concerned with modelling complex dependence structure, using copula-based models, of multifaceted event history processes including

Multivariate Multistate Markov Processes,
Marked Point Processes,
Recurrent Event Processes with Non-ignorable Durations.

The second research area involves developing recursive partitioning methods for survival and longitudinal data: i) to identify risk factors, and ii) to provide prediction about the future event at the individual and/or population level.


  • 2013 Ph.D. in Statistics - Biostatistics, University of Waterloo, Waterloo, Canada
  • 2009 M.Math in  Statistics - Biostatistics, University of Waterloo, Waterloo, Canada
  • 2007 B.Econ in Statistics, Renmin University of China, Beijing, China

Professor Diao has joined the Department of Statistics and Actuarial Science at the University of Waterloo since July, 2015 as an assistant professor.

Selected Publications

  • Steingrimsson, J. A., Diao, L., Molinaro, A. and Strawderman, R, L. Doubly Robust Survival Trees. 2015. Submitted.
  • Diao, L., Cook, R. J. and Lee, K.-A. Statistical Analysis of Recurrent Adverse Events. In Statistical Methods for Evaluating Safety in Medical Product Development by A. Lawrence Gould, John Wiley & Sons. 2015.
  • Diao, L. and Cook, R. J. Composite Likelihood for Joint Analysis of Multiple Multistate Processes via Copulas. Biostatistics. 2014. 15(4): 690-705.
  • Diao, L., Cook, R. J. and Lee, K.-A. A New Copula Model for Marked Point Processes. Lifetime Data Analysis. 2013. 19(4): 463–89.
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