Biostatistics Research Group

About the Biostatistics Research Group

The Biostatistics Research Group specialises in the development, application and teaching of statistical methods in medical research with the ultimate aim of improving the health of the population. A particular strength of the group is the transferral of novel statistical methodology into practice through the development of software, use of novel methods in applied studies and teaching on specialist courses.

The group receive funding from numerous sources including Health Data Research UK, Medical Research Council, National Institute for Health Research, Cancer Research UK, British Heart Foundation. Further details can be found here.


The group have a broad range of research interest across many areas of biostatistics, epidemiology and data science. We have collaborations across many clinical and related disciplines with particularly strong collaboration in cancer, cardiovascular disease, public health and diabetes.

Some of our specific methodological research areas are listed below; more details can be found on individual staff pages.

  • Survival analysis
    • Flexible parametric survival models
    • Competing risks & Multistate models
    • Landmarking methods
    • Joint modelling of survival and longitudinal data
    • Excess mortality / relative survival models
  • Health Technology Assessment
    • Network meta-analysis
    • Evidence synthesis of real world evidence (Generalised evidence synthesis)
    • Individual Patient Data (IPD) meta-analysis.
    • Meta-analysis of Diagnostic Test Accuracy data
    • Multivariate meta-analysis (including surrogate endpoints evaluation)
    • Health economic decision modelling
    • Novel visualisations for HTA reporting
  • Clinical trials
    • Cluster and Stepped wedge randomised trials study design
    • Using routinely collected data in clinical trials
    • Treatment switching
    • Economic evaluation
  • Machine learning
    • Prognostic modelling
    • Neural networks
    • Penalisation methods
  • Statistical & Other Software
    • We implement much of our methodological work in Stata, R and WinBUGS.
    • Use of Shiny for R for creating web-based apps
    • Use of open-web technologies (e.g. D3.js) for interactive visualisations of statistical concepts, data and analyses results



The Biostatistics Research Group teach on a number of courses within the University. Our main teaching responsibilities is on delivery of the MSc Medical Statistics, a course that has been running for over 30 years. We currently receive funding for studentships; see the course webpages for further details of the course and how to apply.

Over the last few years we also contributed to other courses within the University including,

As part of our mission to transfer novel methodology and best statistical practice into applied research, we teach a number of external courses. For example, over the last few years we have delivered courses on:

  • Population-based cancer survival analysis
  • Bayesian Evidence Synthesis for Decision Modelling
  • Indirect and mixed treatment comparisons (Network meta-analysis)
  • Using simulation studies to evaluate statistical methods
  • Flexible parametric survival models in epidemiology
  • Parametric competing risks and multistate models
  • Joint modelling of longitudinal and survival data
  • Age Period Cohort modelling using population-based cancer data
  • Feasibility issues relating to studies of a stepped wedge design
  • Evidence synthesis of diagnostic test accuracy for decision making
  • Meta-Analysis:  Exploring  Heterogeneity  in  Populations,  Settings, Interventions  and  Outcome  Measures
  • Bayesian multivariate meta-analysis with application to surrogate endpoint evaluation and extensions to multivariate network meta-analysis.

Please get in contact if you are interested in attending or commissioning any of these (

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