Leilei Zeng

Professor / Associate Chair – Research
Leilei Zeng

Contact Information:
Leilei Zeng

Research interests:

Dr. Zeng’s research focuses on the development and application of statistical methodologies to health-related fields. Her primary interest lies in methods for event history and longitudinal data analysis, addressing complex features such as multivariate or clustered processes, incomplete observations, composite endpoints, measurement error and response dependent sampling. She is also interested in the design of clinical and epidemiological studies. Dr. Zeng’s research collaborations and applications are in subject areas of health sciences, including aging, dementia and Alzheimer disease, Rheumatic diseases, environmental impact on childhood asthma, and reproduction in women.

Education and biography:

Dr. Zeng received her Ph.D. in Biostatistics from the University of Waterloo in 2005, after which she worked as an assistant professor at Simon Fraser University. She joined the University of Waterloo in 2011 as an Associate Professor and the Graham Trust Chair in Health Statistics.

Selected publications:

  • Iraniparast M, Shi Y, Wu Y, Zeng L, Maxwell C, Kryscio R, John P, SantaCruz K and Tyas S. “Cognitive reserve and mild cognitive impairment: predictors and rates of reversion to intact cognition vs progression to dementia”, Neurology, 98(11) 1114-1123, 2022
  •   Shi Y, Zeng L, Thompson ME and Tyas S. “Augmented likelihood for incorporating auxiliary information for left truncated data”, Lifetime Data Analysis, 27(3) 460-480, 2021.
  •   Shu J, Cook RJ and Zeng L. “Mitigating bias from intermittent measurement of time-dependent covariates in failure time analysis”, Statistics in Medicine, 39(13) 1833-1845, 2020
  •   Zeng L, Cook RJ and Lee JY. "Multistate analysis from cross-sectional and auxiliary samples", Statistics in Medicine, 39(4) 387-408, 2020.
  •   Moon N, Zeng L, and Cook RJ. “Cohort Study Design for Illness-Death Processes under Intermittent Observation”, Biostatistics and Epidemiology, 3(1): 178-200, December 2019.
  •   Moon NC, Zeng L, Cook RJ. “Tracing studies in cohorts with attrition: selection models for efficient sampling", Statistics in Medicine, 37(1): 2354-2366, 2018.
  •   Zeng L, Cook RJ, Lee K-A. “Design of cancer trials based on progression-free survival with intermittent assessment”, Statistics in Medicine, 37(12): 1947-1959, 2018.
  • Zeng L, Cook RJ, Wen L, Boruvka A. “Bias in Progression-free Survival Analysis due to Intermittent Assessment of Progression”, Statistics in Medicine, 34(24):3181-3193, 2015.
  • Nepomnaschy PA, Salvante KG, Zeng L, Pyles C, Ma H, Blais JC, Wen L, Barha CK. “Variation in maternal cortisol profiles across the peri-conceptional period: A longitudinal description and evaluation of potential functions”, Human Reproduction, 30(6): 1460-1472, June 2015.
  •  Sarkar PL, Zeng L, Chen Y, Salvante KG, Nepomnaschy PA. “A Longitudinal Evaluation of the Relationship between First Morning Urinary and Salivary Cortisol”, American Journal of Human Biology, 25(3): 351-358, 2013.
  • Lu Y and Zeng L. “A Non-homogeneous Poisson Hidden Markov Model for Claim Counts”, ASTIN Bulletin - The Journal of the International Actuarial Association, 42(1), 181-202, May 2012.
  •  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”, Canadian Journal of Statistics, 39(3), 438-457, July 2011.
  • Yi GY, Zeng L and Cook RJ. “A Robust Pairwise Likelihood Method for Incomplete Longitudinal Binary Data Arising in Clusters”, Canadian Journal of Statistics, 39(1), 34-51, February 2011.
  • Zeng L, Cook RJ and Warkentin TE. “Regression Analysis with a Misclassified Covariate from a Current Status Observation Scheme”, Biometrics, 66:415-425, 2010.
  • 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, 2(3), 193-215, 2008.
  •  Cook RJ, Zeng L and Lee K. “A Multistate Model for Bivariate Interval Censored Failure Time Data”, Biometrics, 64: 1100-1109, 2008.
  •  Zeng L and Cook RJ. “Transition Models for Multivariate Longitudinal Binary Data”, Journal of the American Statistical Association, 102(477), 211-223, 2007.
  • Cook RJ, Zeng L and Yi GY. “Marginal Analysis of Incomplete Longitudinal Binary Data: A Cautionary Note on LOCF Imputation”, Biometrics, 60: 820-828, 2004.