Professor of the Public Understanding of Risk
Research Interests: Public understanding of uncertainty and risk, Bayesian methods, biostatistics, performance assessment
Examples sheets and lecture notes can be found on my teaching page.
Publications
Making prognostic algorithms useful in shared decision-making: Patients and clinicians’ requirements for the Predict:Breast Cancer interface
(2020)
(doi: 10.1101/2020.11.16.20232348)
Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study.
– The BMJ
(2020)
371,
m3731
(doi: 10.1136/bmj.m3731)
Communicating personalised risks from COVID-19: guidelines from an empirical study
(2020)
2020.10.05.20206961
(doi: 10.1101/2020.10.05.20206961)
Use of "normal" risk to improve understanding of dangers of covid-19.
– BMJ (Clinical research ed.)
(2020)
370,
m3259
(doi: 10.1136/bmj.m3259)
Shielding from covid-19 should be stratified by risk.
– The BMJ
(2020)
369,
m2063
(doi: 10.1136/bmj.m2063)
The effects of communicating uncertainty on public trust in facts and numbers.
– Proceedings of the National Academy of Sciences
(2020)
117,
7672
(doi: 10.1073/pnas.1913678117)
The effects of communicating uncertainty on public trust in facts and numbers
(2020)
(doi: 10.31234/osf.io/vbtg3)
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