The statistics division has research interests in 3 main areas: wildlife population assessment, ecological and environmental modelling, and statistical inference.

For more information please visit the School of Mathematics and Statistics home page.

Recent Submissions

  • Effects of neonicotinoids on bees: an invalid experiment 

    Bailey, R. A.; Greenwood, J. J. D. (2018-01) - Journal item
    We use a recent study on the effects of neonicotinoids on bees as a concrete example to reinforce the advice of OEPP/EPPO (2010) that strong inference is impossible if there is no true replication and that analyses based ...
  • Techniques for estimating the size of low-density gopher tortoise populations 

    Stober, Jonathan M.; Prieto-Gonzalez, Rocio; Smith, Lora L.; Marques, Tiago A.; Thomas, Len (2017-12-01) - Journal article
    Gopher tortoises (Gopherus polyphemus) are candidates for range-wide listing as threatened under the U.S. Endangered Species Act. Reliable population estimates are important to inform policy and management for recovery of ...
  • Surveying abundance and stand type associations of Formica aquilonia and F. lugubris (Hymenoptera: Formicidae) nest mounds over an extensive area : Trialing a novel method 

    Borkin, Kerry; Summers, Ron; Thomas, Len (2012-01-03) - Journal article
    Red wood ants are ecologically important members of woodland communities, and some species are of conservation concern. They occur commonly only in certain habitats in Britain, but there is limited knowledge of their numbers ...
  • Crambled : a Shiny application to enable intuitive resolution of conflicting cellularity estimates 

    Lynch, Andy (2015-12-07) - Journal article
    It is now commonplace to investigate tumour samples using whole-genome sequencing, and some commonly performed tasks are the estimation of cellularity (or sample purity), the genome-wide profiling of copy numbers, and the ...
  • Sequencing of prostate cancers identifies new cancer genes, routes of progression and drug targets 

    Wedge, David C.; Gundem, Gunes; Mitchell, Thomas; Woodstock, Dan J.; Martincorena, Inigo; Ghori, Mohammed; Zamora, Jorge; Butler, Adam; Whitaker, Hayley; Kote-Jarai, Zsofia; Alexandrov, Lumil B.; Van Loo, Peter; Massie, Charlie E.; Dentro, Stefan; Warren, Anne Y.; Verrill, Clare; Berney, Dan M.; Dennis, Nening; Merson, Sue; Hawkins, Steve; Howat, William; Lu, Yong-Jie; Lambert, Adam; Kay, Jonathan; Kremeyer, Barbara; Karaszi, Katalin; Camacho, Niedzica; Luxton, Hayley; Marsden, Luke; Edwards, Sandra; Matthews, Lucy; Bo, Valeria; Leongamornlert, Daniel; McLaren, Stuart; Ng, Anthony; Yu, Yongwei; Zhang, Hongwei; Dadaev, Tokhir; Thomas, Sarah; Easton, Douglas F.; Ahmed, Mahbubl; Bancroft, Elizabeth; Fisher, Cyril; Livni, Naomi; Nicol, David; Tavaré, Simon; Gill, Pelvender; Greenman, Christopher; Khoo, Vincent; Van As, Nicholas; Kumar, Pardeep; Ogden, Christopher; Cahill, Declan; Thompson, Alan; Mayer, Erik; Rowe, Edward; Dudderidge, Tim; Gnanapragasam, Vincent; Shah, Nimish C.; Raine, Keiran; Jones, David; Menzies, Andrew; Stebbings, Lucy; Teague, Jon; Hazell, Steven; Corbishley, Cathy; CamCaP Study Group; de Bono, Johann; Attard, Gerhardt; Isaacs, William; Visakorpi, Tapio; Fraser, Michael; Boutros, Paul C.; Bristow, Robert G.; Workman, Paul; Sander, Chris; The TCGA Consortium; Hamdy, Freddie C.; Futreal, Andrew; McDermott, Ultan; Al-Lazikani, Bissan; Lynch, Andy; Bova, G. Steven; Foster, Christopher S.; Brewer, Daniel S.; Neal, David E.; Cooper, Colin S.; Eeles, Rosalind A. (2018-04-16) - Journal article
    Prostate cancer represents a substantial clinical challenge because it is difficult to predict outcome and advanced disease is often fatal. We sequenced the whole genomes of 112 primary and metastatic prostate cancer ...

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