Ph.D. Students

Applied statistics, epidemiology, primary care research
Causal inference, survival analysis, predictive modelling
Individual participant data meta-analysis, causal inference, variance decompositions
Quantile regression, longitudinal data, missing data, statistical genetics>
Bayesian nonparametrics, machine learning, Dirichlet process for high-dimensional mixtures, genomics
Applied statistics, machine learning, selective inference, deep learning
Statistical genetics, variable selection, high dimensional data, cystic fibrosis
Time to disease recurrence analysis, missing data imputation
Statistical genetics, Likelihood theory
Machine learning, variable importance, statistical inference
Irregularly spaced longitudinal data, Bayesian inference, JDM
Causal inference, measurement error
Genetics, microbiome
Causal mediation analysis
Pai-Shan Cheng
Statistical genetics, RNA-sequencing data, Gene co-expression network analysis
Network meta-analysis, Bayesian inference, osteoarthritis
Leif Erik Lovblom
Clinical trial design, statistical genetics, longitudinal data
Methods for evaluating diagnostic tools, longitudinal data, survival analysis
Jiahui Zhang
Irregular longitudinal data, missclassification and measurement error
Longitudinal study, statistical genetics
Causal inference, image analysis, Bayesian methods
Statistical genetics, computational statistics
Survival analysis, Statistical genetics, Machine learning