Honorary Research Fellow (Biostatistics)
Mathematical and Physical Sciences, University of Technology Sydney
Stephen’s main research interest is the intersection between modern statistical methods and applied science.
He thinks about how longitudinal observational data (or administrative data) might be used to answer causal-relationship type questions, particularly where the analogous randomised experiment is infeasible or unethical.
His analysis expertise include applying generalised linear mixed models, competing risk regression, and data linkage methods.
NSW Branch Councillor, Statistical Society of Australia
Regular member, the International Biometric Society
Regular member, the International Society of Blood Transfusion