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Dr. Jason Wyse

Assistant Professor (Statistics)

 


Wyse J, Mangan, R and Zgaga L, Power determination in vitamin D randomised control trials and characterising factors affecting it through a novel simulation-based tool, Scientific Reports, 11, 2021, p10804 , Journal Article, PUBLISHED  DOI
McHugh C, Hind K, Davey D, Wyse J, Wilson F, Supersizing athletes risks increasing visceral fat and not muscle mass; a study of across season changes in body composition in professional rugby, Journal of the American College of Cardiology, 75, (11), 2020, p1611 - 1611, Journal Article, PUBLISHED  DOI
Cunningham J, Broglio S, Wyse J, McHugh C, Farrel G, Denvir K, Wilson F, Athlete concussion history recall is underestimated: a validation study of selfreported concussion history among current professional rugby union players, Brain Injury, 2020, Journal Article, PUBLISHED  DOI  URL
Cunningham J, Broglio S, Wyse J, Farrell G, Denvir K, Wilson F, Reliability of self reported concussion history in current professional rugby union players, Journal of Neurotrauma, 37th Annual National Neurotrauma Symposium, Pittsburgh, USA, June 29- July 3rd , 36, (13), Mary Ann Liebert Inc, 2019, ppBO6-04 , Poster, PUBLISHED  DOI
Moran S. M., Monach P. A., Zgaga L., Cuthbertson D., Carette S., Khalidi N. A., Koening C. L., Langford C. A., McAlear C. A., Moreland L., Pagnoux C., Seo P., Specks U., Sreih A., Wyse J., Ytterberg S. R., Merkel P. A. and Little M. A., Urinary soluble CD163 and monocyte chemoattractant protein-1 in the identification of subtle renal flare in anti-neutrophil cytoplasmic antibody-associated vasculitis, Nephrology Dialysis Transplantation, 2018, p1-9 , Journal Article, PUBLISHED  DOI
Wyse, J., Friel, N. and Latouche, P. , Inferring structure in bipartite networks using the latent block model and exact ICL, Network Science (Cambridge University Press), 5, (1), 2017, p45 - 69, Journal Article, PUBLISHED  DOI
Ryan, C., Wyse, J. and Friel, N. , Bayesian model selection for the latent position cluster model for Social Networks, Network Science (Cambridge University Press), 5, (1), 2017, p70 - 91, Journal Article, PUBLISHED  DOI
White, A., Wyse, J., Murphy, T. B., Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler, Statistics and Computing (Springer), 26, 2016, p511 - 527, Journal Article, PUBLISHED  DOI
Friel, N., Rastelli, R., Wyse, J., and Raftery, A. E., Interlocking directorates in Irish companies using bipartite networks: a latent space approach, Proceedings of the National Academy of Sciences (United States National Academy of Sciences), 113, (24), 2016, p6629 - 6634, Journal Article, PUBLISHED  DOI
Friel, N., Hurn, M. and Wyse, J. , Improving power posterior estimation of statistical evidence., Statistics and Computing (Springer), 24, 2014, p709 - 723, Journal Article, PUBLISHED  DOI
  

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Mangan, R. Wyse, J. and Zgaga, L., 'SimVitD: Simulation Tools for Planning Vitamin D Studies', 2019, -, Software, PUBLISHED
Wyse J. and White A., Discussion of "A Bayesian information criterion for singular models" by M. Drton and M. Plummer, Journal of the Royal Statistical Society, Series B (Methodological), 79, 2017, p1 - 38, Journal Article, PUBLISHED
Wyse, J., Ryan, C. and Friel, N. , 'collpcm: Collapsed Latent Position Cluster Model for Social Networks', The Comprehensive R Archive Network, 2017, -, Notes: [https://CRAN.R-project.org/package=collpcm], Software, PUBLISHED
Wyse, J. and White A. , Discussion of "Statistical modelling of citation exchange between statistics journals" by C. Varin, M. Cattelan and D. Firth, Journal of the Royal Statistical Society, Series A (Statistics & Society), 179, 2016, p1 - 63, Journal Article, PUBLISHED
Friel N. and Wyse J. , Discussion of Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods by M. Girolami and B. Calderhead, Journal of the Royal Statistical Society, Series B (Methodological), 73, 2011, p123 - 214, Journal Article, PUBLISHED