People in the BMU
The unit comprises faculty, research assistants, post-docs, and graduate students with a range of methodological interest and expertise, including clinical trial and systematic reviews, statistical genetics and genomics, and health services research.
Investigators/Collaborators currently affillated with BMU and their areas of research interest
Eshetu Atenafu
longitudinal analysis, survival analysis, joint modeling of survival and survival data, mathematical analysis
Joseph Beyene
statistical genomics, meta-analysis, predictive modelling and validation techniques, data mining methods, methods for missing data
Annie Dupuis
development of diagnostic rules and measurement norms, survival analysis, simulations, classification and cluster analysis, graphical methods
Brian Feldman
clinical trial design, outcome measures, content area: childhood chronic disease, esepcially types of chronic arthritis (scientific profile)
David Fisman
emerging infectious diseases, medical decision making , surveillance methodology and seasonality, mathematical modeling of disease transmission, case-crossover study design (scientific profile)
Cristina Goia
design and sample size, reliability and validity, multivariate analysis, statistical evidence
Celia Greenwood
statistical genetics, gene expression microarray analysis
Colin Macarthur
Brian McCrindle
analysis of time-related events, including parametric modeling, competing risks and time-dependent covariates, longitudinal data analysis, decision analysis, propensity matching/adjustment (scientific profile)
Rahim Moineddin
time series analysis, multilevel modelling, longitudinal data analysis, large national surveys and administrative data
Chris Parshuram (scientific profile)
Andrew Paterson
genetics of simple and complex diseases, including type I diabetes and its complications, use of linkage and association mapping to identify genetic risk factors (scientific profile)
Derek Stephens
survival analysis, logistic regression and ROC curves, reliability and validity, repeated measures for continuous data, regression and ANOVA, design and sample size
Lillian Sung
randomized controlled trials, preferences and decision-makings, threshold techniques, bayesian analysis
Teresa To
health services research, population-based outcomes research, asthma surveillance and asthma health indicators, childhood asthma (scientific profile)
George Tomlinson
applied Bayesian methods, simulation techniques, meta-analysis, diagnostic tests
David Tritchler
statistical methods for detecting disease genes in human populations, microarray data analysis, graphical models
Andy Willan
clinical trial methodology with a particular focus in methods development for cost-effectiveness analyses (scientific profile)
Graduate Students/Research Assistants
Cory Borkhoff
sample size estimation, repeated measures, generalized estimating equations, conditional power, odds ratio vs. risk ratio
Ahmed Hossain
DNA microarray analysis, survival analysis
Pinzhao Hu
developing and applying statistical methods and machine-learning algorithms for genomic, genetic, and proteomic data analysis
Lisa Wen Le
statistical methodologies applied to microarray data
Babak Shahbaba
Bayesian analysis and its applications in genetics