Faculty Member
Kuan Liu PhD, MMath
- Email Address(es)
- kuan.liu(at)utoronto.ca
- Office Address
- Health Sciences Building 155 College Street, 4th Floor Toronto, ON M5T 3M7
- Website(s)
- Personal website
- Division(s)/Institute(s)
- Biostatistics Division
Institute of Health Policy, Management & Evaluation - Position
- Assistant Professor
- SGS Status
- Associate Member
- Appointment Status
- Tenure Stream
- Currently Accepting Doctoral Students?
- Yes
Research Interests
My primary research focuses on developing methodology for statistical inference with complex longitudinal data in comparative effectiveness research. My areas of methodological interest include causal inference, Bayesian statistics, longitudinal data analysis, measurement errors and bias analysis, and semi-parametric/parametric joint modelling.
Research themes
1. Methdological research in causal inference with longitudinal data
I develop Bayesian estimation methods that permit causal inference in longitudinal observational studies using administrative databases with the following features, repeated measures, high-dimensional confounding, latent variables, and multiple outcomes.
Ongoing projects under this theme (accepting students):
- Causal analysis with unmeasured confounding under a Bayesian framework
- Bayesian causal joint and mixture models
- Bayesian causal analysis with clustered data
2. Design and analysis of observational study
I am interested in studying and applying statistical methods on the design and analysis of clinical and public health studies of rare diseases and chronic conditions. Under this theme, Bayesian inference is an appealing framework: it i) provides a flexible framework for data augmentation and adaptive designs, ii) propagates estimation uncertainty and enables the modelling of latent variables, iii) allow direct probability summaries, and iv) can incorporate prior clinical/expert beliefs.
Ongoing collaborative projects (accepting students):
- Longitudinal trajectory analysis of multiple repeatedly measured cognitive features in dementia
- Bayesian profile analysis quantifying the impact of school closure during and post pandemic
- Bayesian causal analysis in pediatric and critical care medicine
Education & Training History
- PhD, Biostatistics, University of Toronto
- MMath, Statistics – Biostatistics, University of Waterloo
- BSc Honors, Statistics, University of Alberta
Other Affiliations
Assistant Professor, Health Services Research Program (outcomes and evaluation methods emphasis), Institute of Health Policy, Management and Evaluation
Teaching
- HAD5314H: Applied Bayesian Methods in Clinical Epidemiology and Health Care Research
- HAD5319H: Biostatistics III: Advanced Biostatistical Techniques for Observational Studies
Publications
See Google Scholar for full list of publications.