Prof Sylwia Bujkiewicz

Professor of Biostatistics

Contact details

Department of Health Sciences
University of Leicester
Centre for Medicine,
University Road
Leicester, LE1 7RH

Tel: +44 (0)116 229 7258
Email: sylwia.bujkiewicz@le.ac.uk

 

Personal details

MSc in Medical Statistics, University of Leicester

PhD, Wroclaw University of Science and Technology

MSc in Applied Mathematics, Wroclaw University of Science and Technology

Fellow of the Royal Statistical Society

Fellow of the Higher Education Academy

Associate Editor, Journal of the Royal Statistical Society: Series A (Statistics in Society)

Member of NICE Decision Support Unit network

 

Professional activities

I am the joint course director for the MSc in Medical Statistics

Teaching

MSc in Medical Statistics:

  • Module lead for the Generalized Linear Models module
  • Co-lead for the Modelling in Epidemiology project
  • Multivariate meta-analysis and surrogate endpoint evaluation, as part of the Advanced Evidence Synthesis module
  • MSc dissertation projects

 

Short CPD courses:

  • Bayesian multivariate meta-analysis with application to surrogate endpoint evaluation and extensions to multivariate network meta-analysis, Roche, Basel, Switzerland.
  • Introduction to Bayesian Statistics, NIHR CLAHRC, University of Nottingham

 

Research

  • Methods in meta-analysis
  • Multi-parameter evidence synthesis
  • Bayesian methods in healthcare evaluation
  • Bayesian evidence synthesis for surrogate endpoints evaluation
  • Statistical methods in Health Technology Assessment (HTA)
  • Methods for inclusion of Real World Evidence (RWE) in HTA
  • Graphical methods in Health Technology Assessment

 

Projects:

  • HCD: Novel approaches of multi-parameter evidence synthesis and
    decision modelling for efficient evaluation of diagnostic health
    technologies
    , Medical Research Council, Methodology Research Grant 
    (Principal Investigator
    , July 2020 - June 2023).
  • HOD1: Inferring relative treatment effects from combined randomised and observational data, Medical Research Council, Methodology Research Grant 
    (co-Investigator, January 2019 - December 2021).
  • Bayesian multivariate evidence synthesis methods to incorporate surrogate endpoints in health care evaluation, Medical Research Council, New Investigator Methodology Research Grant (Principal Investigator, March 2014 - August 2017).
  • Real life data in drug development (GetReal), EU’s 7th Framework Programme, Innovative Medicines Initiative (co-investigator, as part of an international consortium
    of academia, HTA and regulatory agencies, patient representatives and EFPIA companies, October 2013 - March 2017).

 

PhD supervision:

  • Janharpreet Singh, NIHR Doctoral Research Fellowship, Sept 2019, Investigating methods of incorporating real-world data in health technology assessment (HTA) decision-making: application in Rheumatoid Arthritis
  • Heather Poad, MRC DTP IMPACT, Sept 2019, Artificial intelligence methods in health technology assessment (HTA): efficient decision-making for allocation of pharmacological treatment strategies in subpopulations of cancer patients
  • Athena Sheppard, HDR-UK, Oct 2019, Use of electronic health records for efficient evaluation of biomarkers as diagnostic tools and surrogate endpoints in Alzheimer’s disease
  • Tasos Papanikos, University of Leicester studentship, Sept 2017, Bayesian evidence synthesis for surrogate endpoints in precision medicine
  • Rhiannon Owen, NIHR Doctoral Research Fellowship, 2013-2017, Evaluation of interventions for Overactive Bladder and Detrusor Overactivity: Development and application of evidence synthesis methods for extensive treatment networks
  • Sze Huey Tan, funded partly by Johnson & Johnson, 2011 –2015, Graphical and statistical methods in health technology assessment

 

Publications

Working papers:

  • Papanikos T, Thompson JR, Abrams KR, Bujkiewicz S, A novel approach to bivariate meta-analysis of binary outcomes and its application in the context of surrogate endpoints (available at arXiv:2004.02007)
  • Jenkins D, Bujkiewicz S, Marina R, Dequen P, Abrams KR, Methods for the inclusion of real world evidence in network meta-analysis (available at arXiv:1805.06839)
  • Marina R, Abrams KR, Bujkiewicz S, Jenkins D, Dequen P, Lees M, Corvino FA, Davies J, The use of registry data to extrapolate overall survival results from randomised controlled trials (available at arXiv:1911.05691).

Published:

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