Dr. Peng is a biostatistician and Professor in the Department of Public Health Sciences at Queen's University. Dr. Peng's methodology research has focused on: marginal and random effects models for survival data with a cured fraction; semi-parametric estimation methods and model selection for survival models, and statistical models for observational studies. Much of this research has involved Ph.D and MSc students, and collaborations with researchers locally at Queen's University and internationally at USA, China, Taiwan, etc., and is applicable in both clinical trials and observational studies.
He has a PhD from the University of Newcastle, Australia.
More information is on Dr. Peng's personal website.
Research and Supervision
Dr. Peng's research areas include cure models, multivariate survival models, clinical and population studies of cancer treatments, statistical computing and Bayesian methods and statistical consulting. His current interests include:
- Survival analysis with a cure fraction
- Causal inference in observational studies
- Longitudinal and clustered data analysis
- Statistical methods for health services research
Dr. Peng has continual interest in recruiting talented and dedicated students or graduates to work with him in biostatistics or related areas, either as graduate students or as research/post-doc fellows. If you are interested, you are welcome to contact him.
EPID 821 Essentials of Biostatistics
EPID 822 Applied Regression Analysis
EPID 401 Biostatistical Data Analysis for Life Sciences Students
Dr. Peng's publications are available on PubMed.