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
– BMJ (Clinical research ed.)
(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.
– The BMJ
(2020)
370,
m3259
(doi: 10.1136/bmj.m3259)
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)
The effects of communicating uncertainty on public trust in facts and numbers
(2020)
(doi: 10.31234/osf.io/vbtg3)
Introducing <em>The Art of Statistics: How to Learn from Data</em>
– Numeracy
(2020)
13,
1
(doi: 10.5038/1936-4660.13.1.7)
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