David Spiegelhalter

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David John Spiegelhalter

David Spiegelhalter playing with Arco Iris Samba band, July 2009
Born August 16, 1953 (1953-08-16) (age 58)
Residence Cambridge, England
Nationality British
Institutions University of Cambridge
Alma mater University of Oxford, University College London
Doctoral advisor Adrian Smith[1]
Doctoral students Hayley Jones, Kenneth Rice, Iain Stemp[1]
Notable awards Order of the British Empire
Fellow of the Royal Society

David John Spiegelhalter OBE, FRS, (16 August 1953–) is a distinguished British statistician. In 2007 he was elected Winton Professor of the Public Understanding of Risk in the Statistical Laboratory, University of Cambridge[2] and a Fellow of Churchill College, Cambridge.[3] He divides his work[4] between the Statistical Laboratory (three fifths) and the Medical Research Council Biostatistics Unit (two fifths).[5] Spiegelhalter is an ISI highly cited researcher and is the 34th most-cited mathematical scientist in the world over the last ten years[citation needed].

Contents

[edit] Education

Spiegelhalter studied at the University of Oxford (Bachelor of Arts 1974) and University College London (Master of Science 1975; PhD 1978, supervised by Adrian Smith [1]).

[edit] Career

Spiegelhalter was research assistant in Brunel University in 1976 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.

Since 1981, he has been 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.[6]

His main interests outside work are his stained glass work, samba drumming and treks in various parts of the world[citation needed]. In December 2011 he appeared as a contestant on the BBC game show Winter Wipeout and came 7th overall.[7]

[edit] Research interests

  • Bayesian approach to clinical trials, expert systems and complex modelling and epidemiology.[8]
  • 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. [9]
  • Markov chain Monte Carlo methods.[10] In the 1990s Spiegelhalter led the Medical Research Council team that developed BUGS, a general-purpose statistical program for computing non-conjugate multi-level models using the newly discovered MCMC methods.[11] At the time, this was the only general purpose software for non-conjugate Bayesian inference and it was crucial to the explosive growth of Bayesian analysis that occurred at this time.[citation needed]
  • General issues in clinical trials,[12] 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,[13][14] including promoting concepts such as the micromort (a one in a million chance of death). Media reporting of statistics,[15] risk and probability and the wider conception of uncertainty as going beyond what is measured to model uncertainty, the unknown and the unmeasurable.

[edit] Honours

[edit] References

  1. ^ a b c David Spiegelhalter at the Mathematics Genealogy Project.
  2. ^ "David Spiegelhalter's Personal Home Page". http://www.statslab.cam.ac.uk/Dept/People/Spiegelhalter/davids.html. Retrieved 2011-09-14. 
  3. ^ "Churchill College: Fellows: List of current Fellows". http://www.chu.cam.ac.uk/about/fellows/fellows.php. Retrieved 2011-09-14. 
  4. ^ Spiegelhalter, David (Michaelmas 2009). "Don's Diary". CAM. Cambridge University Alumni Association. p. 3. http://www.alumni.cam.ac.uk/uploads/File/CAM58/CAM58.pdf#page=5. 
  5. ^ "MRC Biostatistics Unit: People". http://www.mrc-bsu.cam.ac.uk/About%20Us/People.html. Retrieved 2011-09-15. 
  6. ^ "Programme transcript". BBC News. 2 April 2006. http://news.bbc.co.uk/1/hi/programmes/panorama/4868560.stm. 
  7. ^ "Programme on iPlayer". http://www.bbc.co.uk/iplayer/episode/b018vbl7/Winter_Wipeout_Episode_1/. 
  8. ^ 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.  edit
  9. ^ 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.  edit
  10. ^ Markov Chain Monte Carlo in Practice, W.R. Gilks, S. Richardson and D.J. Speigelhalter. Chapman & Hall. 1996. ISBN 0-412-05551-1
  11. ^ Spiegelhalter, David; Thomas, Andrew; Best, Nicky; Lunn, Dave (January 2003) (html), WinBUGS User Manual (Version 1.4 ed.), Robinson Way, Cambridge CB2 2SR, UK: MRC Biostatistics Unit, Institute of Public Health, PDF document, http://www.mrc-bsu.cam.ac.uk/bugs 
  12. ^ 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.  edit
  13. ^ Spiegelhalter, D.; Pearson, M.; Short, I. (2011). "Visualizing Uncertainty About the Future". Science 333 (6048): 1393–1400. doi:10.1126/science.1191181. PMID 21903802.  edit
  14. ^ "David Spiegelhalter's blog | Understanding Uncertainty". http://understandinguncertainty.org/blogs/david. Retrieved 2011-09-15. 
  15. ^ 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.  edit
  16. ^ "Weldon Memorial Prize and Medal - International Statistical Institute". http://isi-web.org/root/weldon-memorial-prize-and-medal. Retrieved 2011-09-15. 
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