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Carl Scarrott

Adjunct Professor
22 November 2023

Qualifications & Memberships

  • Bachelor of Science (Honours) (University of Lancaster)

  • Doctor of Philosophy (University of Lancaster)

  • HRB Clinical Research Facility, National University of Ireland Galway (Teaching/Research Organisation): Adjunct Lecturer, Biostatistics Unit

  • Royal Statistical Society (Professional Organisation): Member

  • American Statistical Association (ASA) (Professional Organisation): Member

  • IEEE (Professional Organisation): Member


Research Interests

Research interest is the development and application novel statistic methods to environmental, scientific, medical and industrial problems. My current main interest ares is in extreme value modelling, but am also interested in many areas of statistical modelling, biostatistics, nonparametric statistics, spectral analysis and spatial statistics.

  • Extreme value modelling
  • Biostatistics
  • Statistical modelling


Recent Publications

  • Mattle HP., Scarrott C., Claffey M., Thornton J., Macho J., Riedel C., Söderman M., Bonafé A., Piotin M. and Newell J. (2019) Analysis of revascularisation in ischaemic stroke with EmboTrap (ARISE I study) and meta-analysis of thrombectomy. Interventional Neuroradiology 25(3): 261-270.
  • Hu Y. and Scarrott C. (2018) evmix: An R package for Extreme Value Mixture Modeling, Threshold Estimation and Boundary Corrected Kernel Density Estimation. Journal of Statistical Software 85(5): 27.
  • Coote S., Uszynski M., Herring MP., Hayes S., Scarrott C., Newell J., Gallagher S., Larkin A. and Motl RW. (2017) Effect of exercising at minimum recommendations of the multiple sclerosis exercise guideline combined with structured education or attention control education - secondary results of the step it up randomised controlled trial. BMC Neurology 17(1) 119
  • Hayes S., Uszynski MK., Motl RW., Gallagher S., Larkin A., Newell J., Scarrott C. and Coote S. (2017) Randomised controlled pilot trial of an exercise plus behaviour change intervention in people with multiple sclerosis: The Step it Up study. BMJ Open 7(10) e016336
  • Morton SE., Chiew YS., Pretty C., Moltchanova E., Scarrott C., Redmond D., Shaw GM. and Chase JG. (2017) Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: Length of mechanical ventilation and Ventilator Free Days. Mathematical Biosciences 284: 21-31.
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