David Spiegelhalter

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David Spiegelhalter
David crop.jpg
David Spiegelhalter playing with Arco Iris Samba band, July 2009
Born David John Spiegelhalter
(1953-08-16) August 16, 1953 (age 61)[1]
Residence Cambridge, England
Nationality British
Fields
Institutions
Alma mater
Thesis Adaptive inference using finite mixture models (1978)
Doctoral advisor Adrian Smith[3]
Notable awards
Website

Sir David John Spiegelhalter, OBE FRS (born 16 August 1953), is a British statistician. In 2007 he was elected Winton Professor of the Public Understanding of Risk in the Statistical Laboratory, University of Cambridge[4] and a Fellow of Churchill College, Cambridge.[5] Spiegelhalter is an ISI highly cited researcher.[6][2][7]


Education[edit]

Spiegelhalter studied at the University of Oxford (Bachelor of Arts 1974) and University College London. He gained his Master of Science 1975 and Doctor of Philosophy 1978, supervised by Adrian Smith.[3][8]

Career[edit]

Spiegelhalter was research assistant in Brunel University in 1976[citation needed] and then visiting lecturer at the University of California, Berkeley, 1977–8. After his PhD, he was a research assistant for the Royal College of Physicians; he was based at the University of Nottingham, where his PhD supervisor, Adrian Smith, had been appointed a professor.

From 1981 he was at the Medical Research Council Biostatistics Unit at Cambridge. He has been an honorary lecturer at the University of Hong Kong since 1991. He has also been a consultant for GlaxoSmithKline, Novartis and the World Anti-Doping Agency. He played a leading role in the public inquiries into children's heart surgery at the Bristol Royal Infirmary and the murders by Harold Shipman.[9] Between 2007 and 2012 he divided his work [10] between the Statistical Laboratory (three fifths) and the Medical Research Council Biostatistics Unit (two fifths).[11] He left the MRC in March 2012[12] and now works full-time at the Statistical Laboratory.

David Spiegelhalter presenting at the 2013 Cambridge Science Festival

In 2012, Spiegelhalter hosted the BBC Four documentary Tails You Win: The Science of Chance which described the application of probability in everyday life.[13] He also presented a 2013 Cambridge Science Festival talk, How to Spot a Shabby Statistic at the Babbage Lecture Theatre in Cambridge.[14]

Research[edit]

Spiegelhalter's research interests are in Statistics[2][15][16] including

  • Bayesian approach to clinical trials, expert systems and complex modelling and epidemiology.[17]
  • Graphical models of conditional independence. He wrote several papers in the 1980s that showed how probability could be incorporated into expert systems, a problem that seemed intractable at the time. Spiegelhalter showed that while frequentist probability did not lend itself to expert systems, Bayesian probability most certainly did.[18]
  • Statistical software.[19] In the 1990s Spiegelhalter led the Medical Research Council team that developed WinBUGS ("Bayesian analysis Using Gibbs Sampling"), a statistical-modeling system allowing hierarchical prior distributions. WinBUGS and its successor OpenBUGS specifies graphical models using acyclic directed graphs whose nodes are random variables, which are updated using Gibbs sampling (an updating method for Markov chain Monte Carlo (MCMC) simulation).[20] Earlier Bayesian software had required that the probability distribution for the observed data be an exponential family and that the prior be its conjugate distribution. Allowing flexible choices of prior distributions simplified hierarchical modeling and helped to promote multilevel models, which became widely used in epidemiology and education.
  • General issues in clinical trials,[21] including cluster randomisation, meta-analysis and ethical monitoring.
  • Monitoring and comparing clinical and public-health outcomes and their associated publication as performance indicators.
  • Public understanding of risk,[22][23] including promoting concepts such as the micromort (a one in a million chance of death) and microlife (a 30 minute reduction of life expectancy). Media reporting of statistics,[24] risk and probability and the wider conception of uncertainty as going beyond what is measured to model uncertainty, the unknown and the unmeasurable.

Honours[edit]

Spiegelhalter was knighted in the 2014 Birthday Honours for services to statistics.[27][28]

References[edit]

  1. ^ "SPIEGELHALTER, Prof. David John". Who's Who 2014, A & C Black, an imprint of Bloomsbury Publishing plc, 2014; online edn, Oxford University Press. (subscription required)
  2. ^ a b c List of publications from Google Scholar
  3. ^ a b David Spiegelhalter at the Mathematics Genealogy Project
  4. ^ "David Spiegelhalter's Personal Home Page". Retrieved 2011-09-14. 
  5. ^ "Churchill College: Fellows: List of current Fellows". Retrieved 2011-09-14. 
  6. ^ 35491822900 David Spiegelhalter from the Scopus bibliographic database.
  7. ^ David Spiegelhalter on Twitter
  8. ^ Spiegelhalter, David (1978). Adaptive inference using finite mixture models (PhD thesis). University College London. 
  9. ^ "Programme transcript". BBC News. 2 April 2006. 
  10. ^ Spiegelhalter, David (Michaelmas 2009). "Don's Diary". CAM (58). Cambridge University Alumni Association. p. 3. 
  11. ^ "MRC Biostatistics Unit: People". Retrieved 2011-09-15. 
  12. ^ http://www.mrc-bsu.cam.ac.uk/People/formerstaff.html
  13. ^ BBC Four - Tails You Win: The Science of Chance
  14. ^ What’s On » Cambridge Science Festival - How to spot a shabby statistic
  15. ^ List of publications from Microsoft Academic Search
  16. ^ List of publications from the DBLP Bibliography Server
  17. ^ Spiegelhalter, D. J.; Best, N. G.; Carlin, B. P.; Linde, A. V. D. (2002). "Bayesian Measures of Model Complexity and Fit". Journal of the Royal Statistical Society 64 (4): 583–639. doi:10.1111/1467-9868.00353. 
  18. ^ Lauritzen, S. L.; Spiegelhalter, D. J. (1988). "Local Computations with Probabilities on Graphical Structures and Their Application to Expert Systems". Journal of the Royal Statistical Society 50 (2): 157–224. doi:10.2307/2345762. JSTOR 2345762. 
  19. ^ Markov Chain Monte Carlo in Practice, W.R. Gilks, S. Richardson and D.J. Speigelhalter. Chapman & Hall. 1996. ISBN 0-412-05551-1
  20. ^ Spiegelhalter, David; Thomas, Andrew; Best, Nicky; Lunn, Dave (January 2003), WinBUGS User Manual (Version 1.4 ed.), Robinson Way, Cambridge CB2 2SR, UK: MRC Biostatistics Unit, Institute of Public Health, PDF document 
  21. ^ Neuenschwander, B.; Capkun-Niggli, G.; Branson, M.; Spiegelhalter, D. J. (2010). "Summarizing historical information on controls in clinical trials". Clinical Trials. doi:10.1177/1740774509356002. 
  22. ^ Spiegelhalter, D.; Pearson, M.; Short, I. (2011). "Visualizing Uncertainty About the Future". Science 333 (6048): 1393–1400. doi:10.1126/science.1191181. PMID 21903802. 
  23. ^ "David Spiegelhalter's blog | Understanding Uncertainty". Retrieved 2011-09-15. 
  24. ^ Riesch, H.; Spiegelhalter, D. J. (2011). "'Careless pork costs lives': Risk stories from science to press release to media". Health, Risk & Society 13: 47. doi:10.1080/13698575.2010.540645. 
  25. ^ Outstanding Statistical Application Award, ASA, retrieved 2014-03-31.
  26. ^ "Weldon Memorial Prize and Medal - International Statistical Institute". Retrieved 2011-09-15. 
  27. ^ The London Gazette: (Supplement) no. 60895. p. b2. 14 June 2014.
  28. ^ Gallagher, James (14 June 2014). "Prof Colin Blakemore: Medical research defender knighted". BBC News.