# Browse By Person: McGree, James

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**59**.## Book Chapter

Thamrin, Sri, McGree, James, & Mengersen, Kerrie
(2012)
Bayesian Weibull survival model for gene expression data.
In
Alston, Clair, Mengersen, Kerrie, & Pettitt, Anthony N. (Eds.)

*Case Studies in Bayesian Statistical Modelling and Analysis.*Wiley, pp. 171-185.

McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N.
(2012)
Implementing adaptive dose finding studies using sequential Monte Carlo.
In
Alston, Clair, Mengersen, Kerrie, & Pettitt, Anthony N. (Eds.)

*Case Studies in Bayesian Statistical Modelling and Analysis.*Wiley, United Kingdom, pp. 361-373.## Journal Article

Deilami, Kaveh, Hayes, John F., McGree, James, & Goonetilleke, Ashantha
(2017)
Application of landscape epidemiology to assess potential public health risk due to poor sanitation.

*Journal of Environmental Management*,*192*, pp. 124-133.

Cespedes, Marcela I., Fripp, Jurgen, McGree, James M., Drovandi, Christopher C., Mengersen, Kerrie, & Doecke, James D.
(2017)
Comparisons of neurodegeneration over time between healthy ageing and Alzheimer's disease cohorts via Bayesian inference.

*BMJ Open*,*7*, Article number-e012174.
3

Ma, Yukun, Liu, An, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(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*, pp. 202-211.

Drovandi, Christopher C., Holmes, Christopher, McGree, James, Mengersen, Kerrie, Richardson, Sylvia, & Ryan, Elizabeth
(2017)
Principles of experimental design for Big Data analysis.

*Statistical Science*. (In Press)
353

Ma, Yukun, Liu, An, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2017)
Quantitative assessment of human health risk posed by polycyclic aromatic hydrocarbons in urban road dust.

*Science of the Total Environment*,*575*, pp. 895-904.
1

Overstall, Antony M., McGree, James, & Drovandi, Christopher C.
(2017)
An approach for finding fully Bayesian optimal designs using normal-based approximations to loss functions.

*Statistics and Computing*. (In Press)
17

de Laat, Melody A., McGree, James M., & Sillence, Martin N.
(2016)
Equine hyperinsulinemia: Investigation of the enteroinsular axis during insulin dysregulation.

*American Journal of Physiology - Endocrinology and Metabolism*,*310*(1), E61-E72.
11

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3

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2016)
Understanding the uncertainty associated with particle-bound pollutant build-up and wash-off: A critical review.

*Water Research*,*101*, pp. 582-596.

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2016)
Assessing uncertainty in pollutant build-up and wash-off processes.

*Environmental Pollution*,*212*, pp. 48-56.
3

3

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2016)
Assessing uncertainty in stormwater quality modelling.

*Water Research*,*103*, pp. 10-20.

Kang, Su Yun, McGree, James M., Drovandi, Christopher C., Caley, M. Julian, & Mengersen, Kerrie L.
(2016)
Bayesian adaptive design: Improving the effectiveness of monitoring of the Great Barrier Reef.

*Ecological Applications*,*26*(8), pp. 2637-2648.
3

McGree, James M.
(2016)
Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design.

*Computational Statistics and Data Analysis*. (In Press)

Ma, Yukun, Egodawatta, Prasanna, McGree, James, Liu, An, & Goonetilleke, Ashantha
(2016)
Human health risk assessment of heavy metals in urban stormwater.

*Science of the Total Environment*,*557-558*, pp. 764-772.
5

5

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2016)
Influence of uncertainty inherent to heavy metal build-up and wash-off on stormwater quality.

*Water Research*,*91*, pp. 264-276.
2

1

Woods, David C., McGree, James M., & Lewis, Susan M.
(2016)
Model selection via Bayesian information capacity designs for generalised linear models.

*Computational Statistics & Data Analysis*. (In Press)
8

Amarasinghe, Pradeep, Liu, An, Egodawatta, Prasanna, Barnes, Paul, McGree, James, & Goonetilleke, Ashantha
(2016)
Quantitative assessment of resilience of a water supply system under rainfall reduction due to climate change.

*Journal of Hydrology*,*540*, pp. 1043-1052.

Liu, Shen, McGree, James, Hayes, John F., & Goonetilleke, Ashantha
(2016)
Spatial response surface modelling in the presence of data paucity for the evaluation of potential human health risk due to the contamination of potable water resources.

*Science of the Total Environment*,*566-567*, pp. 1368-1378.

McGree, James, Drovandi, Christopher C., White, Gentry, & Pettitt, Anthony N.
(2016)
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design.

*Statistics and Computing*,*26*(5), pp. 1121-1136.

Ryan, Elizabeth G., Drovandi, Christopher C., McGree, James M., & Pettitt, Anthony N.
(2016)
A review of modern computational algorithms for Bayesian optimal design.

*International Statistical Review*,*84*(1), pp. 128-154.
2

1

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2015)
Influence of pollutant build-up on variability in wash-off from urban road surfaces.

*Science of the Total Environment*,*527-528*, pp. 344-350.
3

8

Liu, Shen, Anh, Vo, McGree, James, Kozan, Erhan, & Wolff, Rodney C.
(2015)
A new approach to spatial data interpolation using higher-order statistics.

*Stochastic Environmental Research and Risk Assessment*,*29*(6), pp. 1679-1690.
17

1

1

Kang, Su Yun, McGree, James, & Mengersen, Kerrie
(2015)
Bayesian hierarchical models for analysing spatial point-based data at a grid level: A comparison of approaches.

*Environmental and Ecological Statistics*,*2*(2), pp. 297-327.
10

1

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2015)
Process variability of pollutant build-up on urban road surfaces.

*Science of the Total Environment*,*518-519*, pp. 434-440.
13

13

Sarini, Sarini, McGree, James, White, Nicole, Mengersen, Kerrie, & Kerr, Graham
(2015)
Comparison of decision tree, support vector machines, and Bayesian network approaches for classification of falls in Parkinson’s disease.

*International Journal of Applied Mathematics and Statistics*,*53*(6), pp. 145-151.

Hsieh, Jeff, Cramb, Susanna, McGree, James, Dunn, Nathan, Baade, Peter, & Mengersen, Kerrie
(2015)
Geographic variation in the intended choice of adjuvant treatments for women diagnosed with screen-detected breast cancer in Queensland.

*BMC Public Health*,*15*, Article number-1204.
3

Wijesiri, Buddhi, Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2015)
Incorporating process variability into stormwater quality modelling.

*Science of the Total Environment*,*533*, pp. 454-461.
7

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Watson, Kalinda, Farre, Maria Jose, Birt, James, McGree, James, & Knight, Nicole
(2015)
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), pp. 1963-1978.
2

5

Kang, Su, McGree, James, Baade, Peter, & Mengersen, Kerrie
(2015)
A case study for modelling cancer incidence using Bayesian spatio-temporal models.

*Australian and New Zealand Journal of Statistics*,*57*(3), pp. 325-345.
1

1

Egodawatta, Prasanna, McGree, James, Wijesiri, Buddhi, & Goonetilleke, Ashantha
(2014)
Compatibility of stormwater treatment performance data between different geographical areas.

*Water : Journal of the Australian Water Association*,*41*(5), pp. 53-57.
34

Kang, Su Yun, McGree, James, & Mengersen, Kerrie
(2014)
The choice of spatial scales and spatial smoothness priors for various spatial patterns.

*Spatial and Spatio-temporal Epidemiology*,*10*, pp. 11-26.
1

Kang, Su Yun, McGree, James, Baade, Peter, & Mengersen, Kerrie
(2014)
An investigation of the impact of various geographical scales for the specification of spatial dependence.

*Journal of Applied Statistics*,*41*(11), pp. 2515-2538.
11

4

2

Tol, Maneesha M, Shekar, Kiran, Barnett, Adrian G, McGree, James, McWhinney, Brett C, Ziegenfuss, Marc, et al.
(2014)
A preliminary investigation into adrenal responsiveness and outcomes in patients with cardiogenic shock after acute myocardial infarction.

*Journal of Critical Care*,*29*(3), 470.e1-470.e6.
2

1

Falk, Matthew G., McGree, James, & Pettitt, Anthony N.
(2014)
Sampling designs on stream networks using the pseudo-Bayesian approach.

*Environmental and Ecological Statistics*,*21*(4), pp. 751-773.
3

3

De Antoni Migliorati, Massimiliano, Scheer, Clemens, Grace, Peter, Rowlings, David, Bell, Mike, & McGree, James
(2014)
Influence of different nitrogen rates and DMPP nitrification inhibitor on annual N2O emissions from a subtropical wheat–maize cropping system.

*Agriculture, Ecosystems & Environment*,*186*(15), pp. 33-43.
48

24

21

Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N.
(2014)
A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design.

*Journal of Computational and Graphical Statistics*,*23*(1), pp. 3-24.
233

5

5

Thamrin, Sri Astuti, McGree, James Matthew, & Mengersen, Kerrie L.
(2013)
Modelling survival data to account for model uncertainty: a single model or model averaging?

*SpringerPlus*,*2*(665), pp. 1-13.
93

Kang, Su Yun, McGree, James, & Mengersen, Kerrie
(2013)
The impact of spatial scales and spatial smoothing on the outcome of Bayesian spatial model.

*PLoS ONE*,*18*(10).
96

4

3

McGree, James, Noble, Glenys, Schneiders, Fiona, Dunstan, Anthony, McKinney, Andrew, Boston, Raymond, et al.
(2013)
A Bayesian approach for estimating detection times in horses : exploring the pharmacokinetics of a urinary acepromazine metabolite.

*Journal of Veterinary Pharmacology and Therapeutics*,*36*(1), pp. 31-42.
112

2

1

Hsieh, Jeff, Crambs, Susanna, McGree, James, Baade, Peter, Dunn, Nathan, & Mengersen, Kerrie
(2013)
Bayesian spatial analysis for the evaluation of breast cancer detection methods.

*Australian and New Zealand Journal of Statistics*,*55*(4), pp. 351-367.
2

1

Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N.
(2013)
Sequential Monte Carlo for Bayesian sequentially designed experiments for discrete data.

*Computational Statistics and Data Analysis*,*57*(1).
171

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13

Foo, Lee Kien, McGree, James, Eccleston, John, & Duffull, Stephen
(2012)
Comparison of robust criteria for D-optimal design.

*Journal of Biopharmaceutical Statistics*,*22*(6), pp. 1193-1205.
7

6

McGree, James Matthew & Eccleston, John
(2012)
Robust designs for Poisson regression models.

*Technometrics*,*54*, pp. 64-72.
75

3

3

Foo, Lee Kien, McGree, James, & Duffull, Stephen
(2012)
A general method to determine sampling windows for nonlinear mixed effects models with an application to population pharmacokinetic studies.

*Pharmaceutical Statistics*,*11*(4), pp. 325-333.
3

4

McGree, James Matthew, Drovandi, Christopher C., Thompson, Helen, Eccleston, John, Duffull, Stephen, Mengersen, Kerrie, et al.
(2012)
Adaptive Bayesian compound designs for dose finding studies.

*Journal of Statistical Planning and Inference*,*142*(6), pp. 1480-1492.
171

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7

McGree, J.M., Drovandi, C.C., & Pettitt, A.N.
(2012)
A sequential Monte Carlo approach to design for population pharmacokinetics studies.

*Journal of Pharmacokinetics and Pharmacodynamics*,*39*(5), pp. 519-526.
170

2

2

Denman, Nick, McGree, James, Eccleston, John, & Duffull, Stephen
(2011)
Design of experiments for bivariate binary responses modelled by Copula functions.

*Computational Statistics and Data Analysis*,*55*(4), pp. 1509-1520.
250

5

4

McGree, James & Eccleston, John
(2010)
Investigating design for survival models.

*Metrika: international journal for theoretical and applied statistics*,*72*(3), pp. 295-311.
6

5

McGree, James, Eccleston, John, & Duffull, Stephen
(2009)
Simultaneous versus sequential optimal design for pharmacokinetic-pharmacodynamic models with FO and FOCE considerations.

*Journal of Pharmacokinetics and Pharmacodynamics*,*36*(2), pp. 101-123.
5

5

McGree, James, Eccleston, John, & Duffull, Stephen
(2008)
Compound optimal design criteria for nonlinear models.

*Journal of Biopharmaceutical Statistics*,*18*(4), pp. 646-661.
18

15

McGree, James & Eccleston, John
(2008)
Probability-based optimal design.

*Australian and New Zealand Journal of Statistics*,*50*(1), pp. 13-28.
8

9

McGree, James, Duffull, Stephen, Eccleston, John, & Ward, Leigh
(2007)
Optimal designs for studying bioimpedance.

*Physiological Measurement*,*28*(12), pp. 1465-1483.
7

4

## Conference Paper

Hainy, Markus, Drovandi, Christopher C., & McGree, James
(2016)
Likelihood-free extensions for Bayesian sequentially designed experiments. In
Kunert, Joachim, Muller, Christine H., & Atkinson, Anthony C. (Eds.)

*Proceedings of the 11th International Workshop in Model-Oriented Design*, Springer, Hamminkeln, Germany, pp. 153-161.
11

Amarasinghe, Pradeep, Barnes, Paul H., Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha
(2015)
An approach for identifying the limit states of resilience of a water supply system. In
Barnes, Paul H. & Goonetilleke, Ashantha (Eds.)

*Proceedings of the 9th Annual International Conference of the International Institute for Infrastructure Renewal and Reconstruction (8-10 July 2013)*, Queensland University of Technology, Brisbane, QLD, pp. 255-264.
419

Senadeera, Manisha & McGree, James
(2015)
Earth hour energy impact. In

*Proceedings of the 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)*, IEEE, Australia, pp. 1-5.

Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N.
(2014)
A sequential Monte Carlo framework for adaptive Bayesian model discrimination designs using mutual information. In
Lanzarone, Ettore & Ieva, Francesca (Eds.)

*Springer Proceedings in Mathematics & Statistics : the Contribution of Young Researchers to Bayesian Statistics*, Springer, Milan, Italy, pp. 19-22.
23

## Working Paper

Dehideniya, Mahasen Bandara, Drovandi, Christopher C., & McGree, James
(2016)

*Efficient Bayesian design for discriminating between models with intractable likelihoods in epidemiology.*[Working Paper] (Unpublished)
57

McGree, James, Drovandi, Christopher C., & Pettitt, Anthony N.
(2012)

*A sequential Monte Carlo approach to the sequential design for discriminating between rival continuous data models.*[Working Paper] (Unpublished)
94