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- James McGree
Professor James McGree
Associate Professor
Queensland University of Technology
Discipline Leader of Statistics and Operations Research in the School of Mathematical Sciences
Research Interests:
Bayesian computational algorithms
Bayesian design
Bayesian inference
Design of experiments
Qualifications:
PhD, Statistics, University of Queensland, Australia. 2008
Projects
Publications
Book Chapters
Mengersen, KL., McGree J., & Schmid C. H.
(2015). Systematic Review and Meta-analysis Using N-of-1 Trials.
(Nikles, J., & Mitchell G., Ed.).The Essential Guide to N-of-1 Trials in Health. 211-231. doi: 10.1007/978-94-017-7200-6_16
Mengersen, KL., McGree J., & Schmid C. H.
(2015). Statistical Analysis of N-of-1 Trials.
(Nikles, J., & Mitchell G., Ed.).The Essential Guide to N-of-1 Trials in Health. 135-153. doi: 10.1007/978-94-017-7200-6_12
Invited talks, refereed proceedings and other conference outputs
Thilan, P., Peterson E., Menendez P., M. Caley J., Drovandi C., Mellin C., et al.
(2019). Optimisation of coral reef monitoring using Bayesian adaptive design methods.
Bayes on the Beach 2019.
Pearse, A. R., McGree J., Som N., & Peterson E.
(2018). SSNdesign: an R package for pseudo-Bayesian optimal and adaptive design on stream networks.
UseR!2018.
Cespedes, M. I., McGree J., Drovandi C. C., Mengersen KL., Doecke J., & Fripp J.
(2017). Spatio-temporal cortical brain patterns of Alzheimer's disease.
The International Biometric Society Australasian Region Conference.
Cespedes, M. I., McGree J., Drovandi C. C., Mengersen KL., Doecke J., & Fripp J.
(2017). Spatio-temporal brain cortical patterns of Alzheimer's disease.
Bayes on the Beach.
Journal Articles
Liyanaarachchige, P. Thilan Abe, Fisher R., Thompson H., Menendez P., Gilmour J., & McGree J.
(2021). Adaptive monitoring of coral health at Scott Reef where data exhibit nonlinear and disturbed trends over time.
Authorea. doi: 10.22541/au.162815385.55248564/v1
Wijesiri, B., Deilami K., McGree J., & Goonetilleke A.
(2018). Use of surrogate indicators for the evaluation of potential health risks due to poor urban water quality: A Bayesian Network approach.
Environmental Pollution. 233, 655 - 661. doi: 10.1016/j.envpol.2017.10.076
Leigh, C., Kandanaarachchi S., McGree J., Hyndman R. J., Alsibai O., Mengersen KL., et al.
(2018). Predicting sediment and nutrient concentrations in rivers using high frequency water quality surrogates.
Leigh, C., Alsibai O., Hyndman R. J., Kandanaarachchi S., King O. C., McGree J., et al.
(2018). A framework for automated anomaly detection in high frequency water-quality data from in situ sensors.
arXiv preprints.
Meier, A.D.., de Laat M.A.., Reiche D.B.., Pollitt C.C.., Walsh D.M.., McGree J., et al.
(2018). The oral glucose test predicts laminitis risk in ponies fed a diet high in nonstructural carbohydrates.
Domestic Animal Endocrinology. 63, 1-9. doi: 10.1016/j.domaniend.2017.10.008
Tan, M., Smith S., Zarate D., McGree J., & Naidoo R.
(2018). Redo Aortic Valve Replacement: Risk Factors for Postoperative Morbidity and Long-Term Survival.
Heart, Lung and Circulation. 27, S537. doi: 10.1016/j.hlc.2018.04.100
Cespedes, M. I., McGree J., Drovandi C. C., Mengersen KL., Doecke J. D., Fripp J., et al.
(2018). An efficient algorithm for estimating brain covariance networks.
PLOS ONE. 13(7), e0198583. doi: 10.1371/journal.pone.0198583
Dehideniya, M. B., Drovandi C. C., & McGree J.
(2018). Optimal Bayesian design for discriminating between models with intractable likelihoods in epidemiology.
Computational Statistics & Data Analysis. 124, 277 - 297. doi: 10.1016/j.csda.2018.03.004
Overstall, A. M., McGree J., & Drovandi C. C.
(2018). An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions.
Statistics and Computing. 28(2), 343-358. doi: 10.1007/s11222-017-9734-x
Ma, Y., Liu A., Egodawatta P., McGree J., & Goonetilleke A.
(2017). Assessment and management of human health risk from toxic metals and polycyclic aromatic hydrocarbons in urban stormwater arising from anthropogenic activities and traffic congestion.
Science of The Total Environment. 579, 202 - 211. doi: 10.1016/j.scitotenv.2016.11.015
Ma, Y., Liu A., Egodawatta P., McGree J., & Goonetilleke A.
(2017). Quantitative assessment of human health risk posed by polycyclic aromatic hydrocarbons in urban road dust.
Science of The Total Environment. 575, 895 - 904. doi: 10.1016/j.scitotenv.2016.09.148
Alemayehu, C., Mitchell G., Aseffa A., Clavarino A., McGree J., & Nikles J.
(2017). A series of N-of-1 trials to assess the therapeutic interchangeability of two enalapril formulations in the treatment of hypertension in Addis Ababa, Ethiopia: study protocol for a randomized controlled trial.
Trials. 18(1), doi: 10.1186/s13063-017-2212-0
McGree, J.
(2017). Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design.
Computational Statistics & Data Analysis. doi: 10.1016/j.csda.2016.05.020
Cespedes, M. I., Fripp J., McGree J., Drovandi C. C., Mengersen KL., & Doecke J. D.
(2017). Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference.
BMJ Open. 7(2), 12174-12174. doi: 10.1136/bmjopen-2016-012174
Ma, Y., McGree J., Liu A., Deilami K., Egodawatta P., & Goonetilleke A.
(2017). Catchment scale assessment of risk posed by traffic generated heavy metals and polycyclic aromatic hydrocarbons.
Ecotoxicology and Environmental Safety. 144, 593 - 600. doi: 10.1016/j.ecoenv.2017.06.073
Drovandi, C. C., Holmes C. C., McGree J., Mengersen KL., Richardson S., & Ryan E. G.
(2017). Principles of Experimental Design for Big Data Analysis.
Statistical Science. 32(3), 385 - 404. doi: 10.1214/16-STS604
Deilami, K., Hayes J. F., McGree J., & Goonetilleke A.
(2017). Application of landscape epidemiology to assess potential public health risk due to poor sanitation.
Journal of Environmental Management. 192, 124 - 133. doi: 10.1016/j.jenvman.2017.01.051
Woods, D. C., McGree J., & Lewis S. M.
(2017). Model selection via Bayesian information capacity designs for generalised linear models.
Computational Statistics & Data Analysis. 113, 226 - 238. doi: 10.1016/j.csda.2016.10.025
Hsieh, J. C. - F., Cramb S., McGree J., Dunn N. A. M., Baade P. D., & Mengersen KL.
(2016). Spatially varying coefficient inequalities: Evaluating how the impact of patient characteristics on breast cancer survival varies by location.
PLOS ONE. 11(5), doi: 10.1371/journal.pone.0155086
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A.
(2016). Influence of uncertainty inherent to heavy metal build-up and wash-off on stormwater quality.
Water Research. 91, 264-276. doi: 10.1016/j.watres.2016.01.028
Zamora, C. A., Oshmyansky A., Bembea M., Berkowitz I., Alqahtani E., Liu S., et al.
(2016). Resistive index variability in anterior cerebral artery measurements during daily transcranial duplex sonography: A predictor of cerebrovascular complications in infants undergoing extracorporeal membrane oxygenation?.
Journal of Ultrasound in Medicine. 35(11), 2459-2465. doi: 10.7863/ultra.15.09046
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A.
(2016). Assessing uncertainty in stormwater quality modelling.
Water Research. 103, 10-20. doi: 10.1016/j.watres.2016.07.011
Amarasinghe, P., Liu A., Egodawatta P., Barnes P., McGree J., & Goonetilleke A.
(2016). Quantitative assessment of resilience of a water supply system under rainfall reduction due to climate change.
Journal of Hydrology. 540, 1043-1052. doi: 10.1016/j.jhydrol.2016.07.021
Kang, S. Y., McGree J., Drovandi C. C., M. Caley J., & Mengersen KL.
(2016). Bayesian adaptive design: Improving the effectiveness of monitoring of the Great Barrier Reef.
Ecological Applications. 26(8), 2637-2648. doi: 10.1002/eap.1409
Ma, Y., Egodawatta P., McGree J., Liu A., & Goonetilleke A.
(2016). Human health risk assessment of heavy metals in urban stormwater.
Science of The Total Environment. 557-558, 764-772. doi: 10.1016/j.scitotenv.2016.03.067
Ryan, E. G., Drovandi C. C., McGree J., & Pettitt A.N.
(2016). A Review of Modern Computational Algorithms for Bayesian Optimal Design.
International Statistical Review. 84(1), 128-154. doi: 10.1111/insr.12107
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A.
(2016). Understanding the uncertainty associated with particle-bound pollutant build-up and wash-off: A critical review.
Water Research. 101, 582-596. doi: 10.1016/j.watres.2016.06.013
McGree, J., Drovandi C. C., White G., & Pettitt A.N.
(2015). A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design.
Statistics and Computing. 26(5), 1121-1136. doi: 10.1007/s11222-015-9596-z
Liu, S., Anh V., McGree J., Kozan E., & Wolff R. C.
(2015). A new approach to spatial data interpolation using higher-order statistics.
Stochastic Environmental Research and Risk Assessment. 29(6), 1679-1690. doi: 10.1007/s00477-014-0985-1
Kang, S. Yun, McGree J., Baade P. D., & Mengersen KL.
(2015). A Case Study for Modelling Cancer Incidence Using Bayesian Spatio-Temporal Models.
Australian & New Zealand Journal of Statistics. 57(3), 325-345. doi: 10.1111/anzs.12127
de Laat, M. A., McGree J., & Sillence M. N.
(2015). Equine hyperinsulinemia: investigation of the enteroinsular axis during insulin dysregulation.
American Journal of Physiology - Endocrinology And Metabolism. 310(1), doi: 10.1152/ajpendo.00362.2015
Hsieh, J. C. - F., Cramb S., McGree J., Dunn N. A. M., Baade P. D., & Mengersen KL.
(2015). Geographic variation in the intended choice of adjuvant treatments for women diagnosed with screen-detected breast cancer in Queensland.
BMC Public Health. 15(1), doi: 10.1186/s12889-015-2527-2
Kang, S. Yun, McGree J., & Mengersen KL.
(2015). Bayesian hierarchical models for analysing spatial point-based data at a grid level: A comparison of approaches.
Environmental and Ecological Statistics. 2, 297–327. doi: 10.1007/s10651-014-0299-y
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A.
(2015). Process variability of pollutant build-up on urban road surfaces.
Science of The Total Environment. 518-519, 434-440. doi: 10.1016/j.scitotenv.2015.03.014
Hsieh, J. C. - F., Cramb S., McGree J., Dunn N., Baade P. D., & Mengersen KL.
(2015). Does geographic location impact the survival differential between screen- and interval-detected breast cancers?.
Stochastic Environmental Research and Risk Assessment. 30(1), 155-165. doi: 10.1007/s00477-015-1050-4
Wijesiri, B., Egodawatta P., McGree J., & Goonetilleke A.
(2015). Incorporating process variability into stormwater quality modelling.
Science of The Total Environment. 533, 454-461. doi: 10.1016/j.scitotenv.2015.07.008
Watson, K., Farré M. José, Birt J., McGree J., & Knight N.
(2014). Predictive models for water sources with high susceptibility for bromine-containing disinfection by-product formation: implications for water treatment.
Environmental Science and Pollution Research. 22(3), 1963-1978. doi: 10.1007/s11356-014-3408-4
Publicly available softwares
Technical reports and unrefereed outputs
Ullah, I., Mengersen KL., Hyndman R. J., & McGree J.
(Submitted). Detection of cybersecurity attacks through analysis of web browsing activities using principal component analysis.
