Nicola G. "Nicky" Best is a statistician known for her work on the deviance information criterion in Bayesian inference[B][E] and as a developer of Bayesian inference using Gibbs sampling.[1][A][D] She is a former professor of biostatistics and epidemiology at Imperial College London and is currently a biostatistician for GlaxoSmithKline.[2]

Education and career

Best earned a master's degree in medical statistics from the University of Leicester in 1990[2] and then a PhD in biostatistics from the University of Cambridge, supervised by David Spiegelhalter.[3] She joined the Imperial College faculty in 1996.[1] She moved from Imperial to GlaxoSmithKline in 2014.[2]

She was editor-in-chief of the Journal of the Royal Statistical Society, Series A (Statistics in Society), from 2001 to 2004.[4]

Recognition

Best won the Guy Medal in Bronze of the Royal Statistical Society in 2004.[5] In 2018, she won the Bradford Hill Medal of the Royal Statistical Society "for her exquisite expositions of Bayesian methods through BUGS software, workshops, lectures, prior elicitations, textbooks and peer-review publications; and for substantive applications ranging from clinical trials and cost-effectiveness to epidemiology and, most recently, the optimization of pharmaceutical research programmes".[6]

Selected publications

References

  1. 1 2 "Nicky Best", Speaker biographies, ESF 2014, retrieved 2019-09-13
  2. 1 2 3 "Professor Nicky Best", Industry and innovation case studies, The Royal Society, retrieved 2019-09-13
  3. "Curriculum vitae" (PDF), Understanding Uncertainty, retrieved 2019-05-10
  4. Professor Nicky Best: Honours and Memberships, Imperial College London, retrieved 2019-09-13
  5. "Royal Statistical Society Guy Medal in Bronze", MacTutor History of Mathematics Archive, University of St Andrews, retrieved 2019-09-13
  6. "RSS announces recipients of 2018 honours", StatsLife, Royal Statistical Society, 22 January 2018, retrieved 2019-09-13
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