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Dr Ewart Shaw, Undergraduate Course Director

Office Hours (Room C1.04) 2016-2017 term 1

Tuesday 10:30-11:30
Friday 10:30-11:30

Contact him on: Ewart.Shaw@warwick.ac.uk

Current teaching (2016-2017)

ST116 Mathematical Techniques (2nd half)
ST323/ST412 Multivariate Statistics
ST332/ST409 Medical Statistics

Research

Bayesian inference (especially numerical methods for integration & summarisation); applications of number theory, coding theory & computer algebra in statistics; survival analysis; medical statistics; splines; use of J.

Recent publications
  • M.H. Rahaman Khan and J.E.H. Shaw (2016). On dealing with censored largest observations under weighted least squares. Journal of Statistical Computation and Simulation (to appear).
  • M.H. Rahaman Khan and J.E.H. Shaw (2016). Robust bias estimation for Kaplan–Meier survival estimator with jackknifing. Journal of Statistical Theory and Practice 10(1):7-19.
  • M.H. Rahaman Khan and J.E.H. Shaw (2016). Variable selection for survival data with a class of adaptive elastic net techniques. Statistics and Computing 26(3):725-741.
  • D. Griffin, N. Parsons, E. Shaw, Y. Kulikov, C. Hutchinson, M. Thorogood and S.E. Lamb (2014). Operative versus non-operative treatment for closed, displaced, intra-articular fractures of the calcaneus: randomised controlled trial. British Medical Journal 2014 Jul 24;349:g4483.
  • M.H. Rahaman Khan and J.E.H. Shaw (2011). Multilevel logistic regression analysis applied to binary contraceptive prevalence data. Journal of Data Science 9(1):93-110.
Recent conference papers, short communications, software etc.
  • M.H. Rahaman Khan and J.E.H. Shaw (2016). Package 'imputeYn'. The Comprehensive R Archive Network.
  • M.H. Rahaman Khan and J.E.H. Shaw (2016). Package 'jackknifeKME'. The Comprehensive R Archive Network.
  • M.H. Rahaman Khan and J.E.H. Shaw (2015). Package 'AdapEnetClass'. The Comprehensive R Archive Network.
  • M.H. Rahaman Khan and J.E.H. Shaw (2013). Variable selection with the modified Buckley–James method and the Dantzig selector for high–dimensional survival data. 59th ISI World Statistics Congress Proceedings, Hong Kong, 4239-4244.
  • M.H. Rahaman Khan and J.E.H. Shaw (2010). Variable selection for AFT models in high dimensions via regularized weighted least squares method. First International Conference on Theory and Applications of Statistics, Dhaka, Bangladesh, 26-28 December 2010.
  • M.H. Rahaman Khan and J.E.H. Shaw (2010). Penalized regression approaches to variable selection for AFT models in high dimensions. 31st Annual Conference of the International Society for Clinical Biostatistics, Montpelier, August-September 2010.
  • J.E.H. Shaw (2010). Statistical inference, orthogonal polynomials and electrostatics. OPW - Orthogonal Polynomials, Applications to Statistics and Stochastic Processes, University of Warwick, 12-15 July 2010.
  • M.H. Rahaman Khan and J.E.H. Shaw (2010). Bayesian and non-Bayesian variable selection for parametric AFT models in high dimensions. 9th Valencia International Meeting on Bayesian Statistics, Alicante, June 2010.
  • M.H. Rahaman Khan and J.E.H. Shaw (2010). The Bayesian elastic net and related methods. Model Uncertainty Workshop, University of Warwick, May-June 2010.

Dr Shaw 

 
 
You might like to visit:

ResearchGate

jsoftware profile

ewartshaw.com (skeletal)

Facebook page (please note I can only be friends with people I know in real life, and no-one I teach, sorry, to avoid any apparent favouritism).