Graeme is the Director of Statistics & Clinical Science at Becton, Dickinson & Company (BD). He was also former Assistant Editor for the European Journal of Cardio-Thoracic Surgery and Interactive CardioVascular and Thoracic Surgery.
After completing his PhD, he held several academic roles. Graeme has extensive experience on both methodological and applied statistics. Methodological research has focused on hierarchical Bayesian modelling, risk prediction modelling, and joint modelling of longitudinal and time-to-event data. Applications have spanned ecotoxicology, cardiovascular surgery, epidemiology, health e-research, public health, and clinical trials.
Disclaimer: this website reports academic contributions only. All views are my own and do not reflect that of my employer.
Certificate in Professional Studies (Learning & Teaching in Higher Education), 2017
University of Liverpool
Chartered Statistician, 2016
Royal Statistical Society
PhD in Statistics, 2011
Durham University
MMath in Mathematics, 2006
Durham University
Simulation and analysis of Bayesian adaptive clinical trials for binomial, Gaussian, and time-to-event data types, incorporates historical data and allows early stopping for futility or early success.
An R package for data augmentation using the Bayesian discount prior method for one arm and two arm clinical trials.
An R package to fit joint models to a single repeated measure and a time-to-event outcome (single or competing risks) using an EM algorithm.
An R package to fit joint models to multivariate repeated measures data and a time-to-event outcome using an MCEM algorithm.