# Browse By Person: McGree, James

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**23**.## 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

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

*Environmental and Ecological Statistics*. (In Press)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.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. 118

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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. 14

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). 19

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. 15

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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). 99

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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. 1

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

*Technometrics*,*54*, pp. 64-72. 35

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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.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. 112

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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. 106

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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. 143

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

*Metrika: international journal for theoretical and applied statistics*,*72*(3), pp. 295-311. 2

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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. 4

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

*Journal of Biopharmaceutical Statistics*,*18*(4), pp. 646-661. 11

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

*Australian and New Zealand Journal of Statistics*,*50*(1), pp. 13-28. 6

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

*Physiological Measurement*,*28*(12), pp. 1465-1483. 4

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## Conference Paper

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.Amarasinghe, Pradeep, Barnes, Paul H., Egodawatta, Prasanna, McGree, James, & Goonetilleke, Ashantha (2013) An approach for identifying the limit states of resilience of a water supply system. In Barnes, Paul H. & Goonetilleke, Ashantha (Eds.)

*The 9th Annual International Conference of the International Institute for Infrastructure Renewal and Reconstruction : Risk-informed Disaster Management : Planning for Response, Recovery & Resilience*, Queensland University of Technology, Brisbane, QLD. 167

## Working Paper

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) 60