Leilei Zeng

Associate Professor

Leilei ZengGraham Trust Chair in Health Statistics

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Leilei Zeng

Research interests

Professor Zeng's research activities focus generally on the development of statistical methods of data analysis for public health and medicine and the application of such methods in a variety of public health and medical contexts.Her current statistical research interests fall into the broad areas of longitudinal data analysis and survival data analysis, with the specific areas including multi-state transitional models for longitudinal data, analysis of multivariate and clustered longitudinal data, marginal models for longitudinal data using generalized estimating equations, methods for missing data problems, methods for interval censored survival data, and model mis-specification and measurement error problems.


Leilei Zeng joined the Department of Statistics and Actuarial Science at the University of Waterloo as an associate professor and the Graham Trust Chair in Health Statistics in 2011.

Professor Zeng completed her BSc in Statistics from Nankai University in 1998, and then went on to receive her masters and PhD in Biostatistics from the University of Waterloo (1999-2005). Upon the completion of her graduate study, Professor Zeng worked first as a postdoctoral fellow and then as an assistant professor (2006-2011) at Simon Fraser University (SFU) with a joint appointment in the Department of Statistics & Actuarial Science and the Faculty of Health Sciences. During this time, she actively participated in the establishment of the new Faculty of Health Sciences at SFU as one of the founding faculty members, and forged several major ongoing collaborations with researchers in health sciences.

Professor Zeng was a recipient of the University Faculty Award (2006-2011) from the Natural Sciences and Engineering Research Council of Canada (NSERC). She has successfully obtained research grants from NSERC, the Canadian Institutes of Health Research (CIHR), and the Chemical Management Plan of the Government of Canada as the Principle Investigator and the Co-Principle Investigator.  Professor Zeng has been a member of the Committee on Women in Statistics (COWIS) of the Statistics Society of Canada (SSC) and also served as the SSC representative to the Caucus for Women in Statistics and to the COWIS of the American Statistical Association.

Selected publications

  • Nepomnaschy PA, Lee T, Zeng L and Dean CB. Who is stressed? Comparing Cortisol Levels Between Individuals. American Journal of Human Biology, published online, March 21, 2012.
  • Lu Y. and Zeng L. A Non-homogeneous Poisson Hidden Markov Model for Claim Counts, ASTIN Bulletin - The Journal of the International Actuarial Association, Accepted, October. 2011.
  • Lee T, Zeng L, Thompson DJS and Dean CB. Comparison of Imputation Methods for Interval Censored Time-to-event Data in Joint Modeling of Tree Growth and Mortality, The Canadian Journal of Statistics, Volume 39, Issue 3, 438-457, 2011.
  • Yi GY, Zeng L and Cook RJ. A Robust Pairwise Likelihood Method for Incomplete Longitudinal Binary Data Arising in Clusters, The Canadian Journal of Statistics, Volume 39, Issue 1, 34-51, 2011.
  • Sehi, M., Flanagan, JG, Zeng, L, Cook, RJ, Trope, GE. The Association Between Diurnal Variation of Optic Nerve Head Topography, Intraocular Pressure and Ocular Perfusion Pressure in Untreated Primary Open Angle Glaucoma, Journal of Glaucoma, Volume 20, Issue 1, 44-50, 2011.
  • Zeng L, Cook RJ and Warkentin TE. Regression Analysis with a Misclassified Covariate from a Current Status Observation Scheme, Biometrics, 66:415-425, June 2010.
  • Tomkinson J. Palmer A, Phung C, Joffres M. Zeng L, Lima V, Guyatt MD, Mills EJ. Does the Ratification of Human Rights Treaties Impact Population health?, The Lancet, Volume 373, Issue 9679, 1987-1992, June 2009.
  • Zeng L and Cook RJ. A Multivariate Random Effect Model for Clustered Interval Censored Time to Joint Damage in Psoriatic Arthritis, JP Journal of Biostatistics, Volume 2, Issue 3, 193-215, Oct. 2008.
  • Cook RJ, Zeng L and Lee K. A Multistate Model for Bivariate Interval Censored Failure Time Data, Biometrics, 64: 1100-1109, Dec. 2008.
  • Zeng L and Cook RJ. Transition Models for Multivariate Longitudinal Binary Data, Journal of the American Statistical Association, Vol. 102, No. 477: 211-223, March 2007.
University of Waterloo
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