Events 2022

Date  TimeTitleDescriptionLocation
10th October 2022 1-2.30pm Qualitative Research Forum

Mobile Methods: What are they, why use them and how?
Dr Sarah Bell, The European Centre for Environment & Human Health

A growing number of studies in health and wellbeing research are adopting and developing mobile methodologies, such as walk/run/bike/swim-along interviews, geo-narratives, and mobile and video ethnographies. Many of these methodologies are presented in the literature in a relatively unproblematic way. Yet more critical insights regarding the practical and ethical logistics of performing – and analysing the data generated by – such methods have considerable value for new and emerging researchers working in this area. This QRF session will encourage honest and open discussion about these challenges.

Please note that these events are only open to members of staff and students at the University of Exeter.

Please click here to register.

Online event
12th Octber 2022 Refreshments 12:30-13:00, Seminar 13:00-14:00, Questions until 14:30 APEx Seminar

Innovations and interventions for detecting cancer earlier
Professor Richard Neal
Professor of Primary Care, University of Exeter

In this seminar Richard will discuss how cancer outcomes may be improved by step-changes in how we may detect cancer earlier. Specifically he will discuss three very different but complementary approaches that he is working on with international academic partners and industry. These are:

  • The NHS-Galleri trial, evaluating the impact of a novel Multi-Cancer Early Detection Test, in an asymptomatic screening population (and aiming to complete recruitment and randomisation of 140,000 participants within the first year of operation)
  • The development, validation, and service evaluation of the PinPoint Test – a machine learning algorithm able to stratify risk of cancer based upon routine blood tests for patients being referred down Urgent Suspected Cancer pathways
  • The ThinkCancer Trial – A cluster RCT of a psycho-educational intervention that has been developed to get clinicians to think about the possibility of cancer more, and more often with the intention of better targeting of investigations and referrals

Please register via Eventbrite for in-person or online attendance:

13th October 2022 2-3.30pm Seminar

Healing Matters
Professor Paul Dieppe will outline his own exploration of the world of healing and healers, related to his background in biomedicine.

Healing is being talked about a great deal at the moment. We are told that we need to heal ourselves and heal our world. But what is healing?

How can we investigate something so varied, nebulous and experiential? And why do science and medicine mostly reject healing?

Paul Dieppe is part of a group of academics exploring these questions. People who investigate healing come from a variety of different subject areas, including anthropology, religious studies, sociology, medicine, psychology and many arts and humanities disciplines.

The group aim to help break down the ‘silos’ of academia to develop a genuinely trans-disciplinary consortium to take the subject forward – and develop an academic discipline called ‘healing matters’. They may need to focus on specific issues to begin with, such as ‘dying healed’, or the development of ‘healing spaces’.

Please register via Eventbrite

Wellcome Centre for Cultures and Environments (and also online)

18th October 2022 1-2pm ESMI Guest Seminar

Survival extrapolation with external data: a new Bayesian model and R package
Chris Jackson, MRC Biostatistics Unit, University of Cambridge

Health policies are often informed by survival or tme‐to‐event data with limited follow‐up. Examples include health economic evaluations of drugs based on clinical trial data, and health service resource
planning early in an epidemic given data on hospital stays. Parametric survival models are commonly used to "extrapolate" short‐term time‐to‐event data, but results can be sensitive to the choice of parametric
model. A range of methods are available for including additional information about the long term, but previously there has been no straighforward tool to implement them.

This talk introduces the `survextrap` R package for survival extrapolation. It uses a flexible parametric model, designed to fit the data as well as possible. Bayesian evidence synthesis is used to incorporate transparent assumpsions about the long term, while fully expressing uncertainty. It has an easy‐to‐use R interface. While it is a
work in progress, it can deal with a useful range of situations, and documentation and examples are available at

Online seminar

Please email for further details