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Publications

	Year	Authors	Title
	2024	Wyse, J., Ng, J., White, A., Fop, M.	Jason Wyse, James Ng, Arthur White and Michael Fop's contribution to the Discussion of 'Root and community inference on the latent growth process of a network' by Crane and Xu Journal of the Royal Statistical Society, Series B. DOI: https://doi.org/10.1093/jrsssb/qkae049
	2022	Zgaga L., Shraim R., Bolger E., Wyse J.	Statistical power in vitamin D randomized control trials investigating biomarkers as continuous outcomes The Journal of Steroid Biochemistry and Molecular Biology. DOI: https://doi.org/10.1016/j.jsbmb.2022.106148
	2022	Barrett E. M., Wyse J., Forde C.	Did physical activity and associated barriers change during COVID-19 restrictions in Ireland? Repeated cross-sectional study Health Promotion International, 37(4). DOI: https://doi.org/10.1093/heapro/daac127
	2021	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, pp10804. DOI: http://dx.doi.org/10.1038/s41598-021-90019-7
	2021	Batten I., Robinson M. W., White A., Walsh C., Fazekas B., Wyse J., Buettner A., D'Arcy S., Greenan E., Murphy C. C., Wigston...	Investigation of type I interferon responses in ANCA-associated vasculitis. Scientific reports, 11(1), pp8272. DOI: http://dx.doi.org/10.1038/s41598-021-87760-4
	2021	Ford C., Wyse J. and Barrett E.	Time and belief in exercise importance predict increased activity during initial COVID-19 restrictions in Ireland Health Promotion International. DOI: doi.org/10.1093/heapro/daab113
	2021	Jaouimaa F., Dempsey D., van Osch S., Kinsella S., Burke K., Wyse J. and Sweeney J.	An age-structured SEIR model for COVID--19 incidence in Dublin, Ireland with framework for evaluating health intervention cost PLOS ONE, 16(12)
	2021	Benavoli A., Wyse J. and White A.	Gaussian Processes to speed up MCMC with automatic exploratory-exploitation effect PROBPROG
	2021	O'Dea M. I., Kelly L. A., McKenna E., Strickland T., Hurley T. P., Butler J., Vavasseur C., El-Khuffash A. F., Miletin J., Fa...	Altered Cytokine Endotoxin Responses in Neonatal Encephalopathy Predict MRI Outcomes. Frontiers in pediatrics, 9, pp734540. DOI: http://dx.doi.org/10.3389/fped.2021.734540
	2021	Barrett EM., Forde C and Wyse J	. Barriers and enablers to physical activity during COVID-19 restrictions in Ireland(ed.), 8th International Society for Physical Activity and Health (ISPAH) Congress
	2021	McHugh C., Hind K., Wyse J., Davey D., Wilson F.	Increases in DXA-Derived Visceral Fat Across One Season in Professional Rugby Union Players: Importance of Visceral Fat Monitoring in Athlete Body Composition Assessment Journal of Clinical Densitometry, 24(2), pp206-213. DOI: https://doi.org/10.1016/j.jocd.2020.09.001
	2020	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), pp1611-1611. DOI: http://dx.doi.org/10.1016/so735-1097(20)32238-5
	2020	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. DOI: http://dx.doi.org/10.1080/02699052.2020.1858160
	2020	O'Brien, E.C., White, C.A., Wyse, J., Leacy, E., Porter, R.K., Little, M.A., Hickey, F.B.	Pro-inflammatory Stimulation of Monocytes by ANCA Is Linked to Changes in Cellular Metabolism Frontiers in Medicine, 7
	2018	Moran S. M., Monach P. A., Zgaga L., Cuthbertson D., Carette S., Khalidi N. A., Koening C. L., Langford C. A., McAlear C. 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, pp1-9. DOI: http://dx.doi.org/10.1093/ndt/gfy300
	2017	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), pp45-69. DOI: https://doi.org/10.1017/nws.2016.25
	2017	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), pp70-91. DOI: http://dx.doi.org/10.1017/nws.2017.6
	2017	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, pp1-38
	2016	White, A., Wyse, J., Murphy, T. B.	Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler Statistics and Computing (Springer), 26, pp511-527. DOI: http://dx.doi.org/10.1007/s11222-014-9542-5
	2016	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), pp6629-6634. DOI: http://dx.doi.org/10.1073/pnas.1606295113
	2016	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, pp1-63
	2014	Friel, N., Hurn, M. and Wyse, J.	Improving power posterior estimation of statistical evidence. Statistics and Computing (Springer), 24, pp709-723. DOI: http://dx.doi.org/10.1007/s11222-013-9397-1
	2012	Friel, N. and Wyse, J.	Estimating the statistical evidence -- a review Statistica Neerlandica (Wiley), 66, pp288-308. DOI: http://dx.doi.org/10.1111/j.1467-9574.2011.00515.x
	2012	Wyse, J. and Friel, N.	Block clustering with collapsed latent block models Statistics and Computing (Springer), 22, pp415-428. DOI: http://dx.doi.org/10.1007/s11222-011-9233-4
	2011	Wyse, J., Friel, N. and Rue, H.	Approximate simulation-free Bayesian inference for multiple changepoint models with dependence within segments (with discussion) Bayesian Analysis (International Society for Bayesian Analysis), 6, pp501-528. DOI: http://dx.doi.org/10.1214/11-ba620
	2011	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, pp123-214

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