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Graeme L. Hickey

Director, Statistics & Clinical Science

BD Ltd.

Biography

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.

Interests

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

Education

  • 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

Experience

 
 
 
 
 

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
 
 
 
 
 

Biostatistician

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

Software

*
All R Joint Modelling Clinical Trials Bayesian

bayesCT

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.

bayesDP

An R package for data augmentation using the Bayesian discount prior method for one arm and two arm clinical trials.

joineR

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.

joineRML

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

Long-term device surveillance using the UK cardiac surgery registry

Apr 11, 2019 12:00 AM Silverspring, MD

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

Apr 25, 2018 12:00 AM University of Liverpool, London Campus, London, UK
PDF Slides

Risk: a statistician's viewpoint

Mar 19, 2018 12:00 AM Glasgow, UK
PDF Slides

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 …
Mar 14, 2018 12:00 AM Rotterdam, The Netherlands
PDF Slides

A comparison of joint models for longitudinal and competing risks data, with application to an epilepsy drug randomized controlled trial

Feb 21, 2018 12:00 AM University of Liverpool, Liverpool, UK
PDF Slides
See all talks

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 …
PDF

Incidence of renal artery damage following percutaneous renal denervation with radio frequency renal artery ablation systems: Review and Meta-Analysis of published reports

Aims: We aimed to estimate the rate of renal artery adverse events following renal denervation with the most commonly applied …
PDF

The fallacy of indexed effective orifice area charts to predict prosthesis-patient mismatch after prosthesis implantation

Aims: Indexed effective orifice area (EOAi) charts are used to determine the likelihood of prosthesis–patient mismatch (PPM) after …
PDF

Rationale and design of two randomized sham-controlled trials of catheter-based renal denervation in subjects with uncontrolled hypertension in the absence (SPYRAL HTN-OFF MED Pivotal) and presence (SPYRAL HTN-ON MED Expansion) of antihypertensive medications: a novel approach using Bayesian design

Background: The SPYRAL HTN clinical trial program was initiated with two 80-patient pilot studies, SPYRAL HTN-OFF MED and SPYRAL HTN-ON …
PDF

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 …
PDF
See all publications

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