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Statistical Laboratory

Publications

Shielding from covid-19 should be stratified by risk
GD Smith, D Spiegelhalter
– BMJ (Clinical research ed.)
(2020)
369,
m2063
The effects of communicating uncertainty on public trust in facts and numbers.
AM van der Bles, S van der Linden, ALJ Freeman, DJ Spiegelhalter
– Proceedings of the National Academy of Sciences
(2020)
117,
7672
Should We Trust Algorithms?
D Spiegelhalter
– Harvard data science review
(2020)
Introducing The Art of Statistics: How to Learn from Data
D Spiegelhalter
– Numeracy
(2020)
13,
1
No more damned lies ...
D Spiegelhalter
– NEW SCIENTIST
(2020)
245,
48
Risk perceptions of COVID-19 around the world
S Dryhurst, CR Schneider, J Kerr, ALJ Freeman, G Recchia, AM van der Bles, D Spiegelhalter, S van der Linden
– Journal of Risk Research
(2020)
23,
994
Hormone replacement therapy and the risk of breast cancer: How much should women worry about it?
M Climént-Palmer, D Spiegelhalter
– Post reproductive health
(2019)
25,
175
The Met Office Weather Game: investigating how different methods for presenting probabilistic weather forecasts influence decision-making
EM Stephens, DJ Spiegelhalter, K Mylne, M Harrison
– Geoscience Communication
(2019)
2,
101
Conducting fit‐for‐purpose food safety risk assessments
Y Devos, KC Elliott, P Macdonald, K McComas, L Parrino, D Vrbos, T Robinson, D Spiegelhalter, B Gallani
– EFSA Journal
(2019)
17,
e170707
Communicating uncertainty about facts, numbers and science.
AM van der Bles, S van der Linden, ALJ Freeman, J Mitchell, AB Galvao, L Zaval, DJ Spiegelhalter
– Royal Society Open Science
(2019)
6,
181870
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Frontpage talks

30
Apr
Cambridge Statistics Clinic

Research Group

Statistical Laboratory

Room

D2.06

Telephone

01223 337945