Graeme L. Hickey

Director, Statistics & Clinical Science

BD Ltd.


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.


  • Biostatistics
  • Joint modelling
  • R software
  • Bayesian statistics
  • Cardiovascular surgery outcomes
  • Risk prediction modelling
  • Adaptive trial design
  • Propensity score methods
  • Composite endpoints


  • 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



Director, Statistics & Clinical Science

Becton, Dickinson and Company

Oct 2020 – Present Winnersh, UK

Statistics Director

Medtronic, Coronary & Structural Heart

Jun 2018 – Sep 2020 Watford, UK

Post-Doctoral Research Associate in Biostatistics

Liverpool University, Department of Biostatistics

Aug 2015 – May 2018 Liverpool, UK

Tenure Track Fellow (Statistics)

Liverpool University, Department of Epidemiology and Population Health

Jun 2014 – Jul 2015 Liverpool, UK

Honorary Lecturer

Manchester University, Institute of Cardiovascular Sciences

Jun 2014 – May 2017 Manchester, UK

Honorary Senior Lecturer

University College London, Institute of Cardiovascular Science

Apr 2013 – Mar 2018 London, UK

Honorary Researcher

University Hospital of South Manchester NHS Foundation Trust

Dec 2011 – May 2014 Wythenshawe, UK


Manchester University, Centre for Health Informatics

Sep 2011 – May 2015 Manchester, UK

Post-Doctoral Research Associate

Durham University, Department of Mathematical Sciences

Jun 2010 – Aug 2011 Durham, UK

Postgraduate Teaching Assistant

Durham University, Department of Mathematical Sciences

Oct 2007 – Apr 2010 Durham, UK




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.

Recent & Upcoming Talks

Joint modelling of longitudinal and time-to-event data: recent extensions

Risk: a statistician's viewpoint

Joint models of time-to-event and multivariate longitudinal data

Research into joint modelling methods has grown substantially over recent years. Previous research has predominantly concentrated on …

Recent Publications

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Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data

Quasi-Monte Carlo (QMC) methods using quasi-random sequences, as opposed to pseudo-random samples, are proposed for use in the joint …

Lower blood pressure after transcatheter or surgical aortic valve replacement is associated with increased mortality

Background: Blood pressure (BP) guidelines for patients with aortic stenosis or a history of aortic stenosis treated with aortic valve …