Browse By Person: McGree, James
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Number of items: 17.
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
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.
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).
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36Foo, 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.
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. .
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33McGree, James Matthew & Eccleston, John (2012) Robust designs for Poisson regression models. Technometrics, 54, pp. 64-72.
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10Foo, 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.
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82 2 2Drovandi, Christopher C., McGree, James, & Pettitt, Anthony N. (2012) A sequential Monte Carlo algorithm to incorporate model uncertainty in Bayesian sequential design. Journal of Computational and Graphical Statistics. (In Press)
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76 1McGree, 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.
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72 1 1Denman, 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.
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93McGree, James & Eccleston, John (2010) Investigating design for survival models. Metrika: international journal for theoretical and applied statistics, 72(3), pp. 295-311.
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.
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3 4McGree, James, Eccleston, John, & Duffull, Stephen (2008) Compound optimal design criteria for nonlinear models. Journal of Biopharmaceutical Statistics, 18(4), pp. 646-661.
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9 10McGree, James & Eccleston, John (2008) Probability-based optimal design. Australian and New Zealand Journal of Statistics, 50(1), pp. 13-28.
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6 6McGree, James, Duffull, Stephen, Eccleston, John, & Ward, Leigh (2007) Optimal designs for studying bioimpedance. Physiological Measurement, 28(12), pp. 1465-1483.
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