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
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)
(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)
No more damned lies ...
– NEW SCIENTIST
(2020)
245,
48
Shielding from covid-19 should be stratified by risk.
– BMJ (Clinical research ed.)
(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 of USA
(2020)
117,
7672
(DOI: 10.1073/pnas.1913678117)
Risk perceptions of COVID-19 around the world
– Journal of Risk Research
(2020)
1
Hormone replacement therapy and the risk of breast cancer: How much should women worry about it?
– Post Reprod Health
(2019)
25,
175
(DOI: 10.1177/2053369119898586)
The Met Office Weather Game: investigating how different methods for presenting probabilistic weather forecasts influence decision-making
– Geoscience Communication
(2019)
2,
101
(DOI: 10.5194/gc-2-101-2019)
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