Search Results - "McGree, J"

Equine hyperinsulinemia: investigation of the enteroinsular axis during insulin dysregulation by de Laat, M A, McGree, J M, Sillence, M N

“…Compared with some other species, insulin dysregulation in equids is poorly understood. However, hyperinsulinemia causes laminitis, a significant and often…”
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A Laplace-based algorithm for Bayesian adaptive design by Senarathne, S. G. J., Drovandi, C. C., McGree, J. M.

“…This article presents a novel Laplace-based algorithm that can be used to find Bayesian adaptive designs under model and parameter uncertainty. Our algorithm…”
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Controlled evaLuation of Angiotensin Receptor Blockers for COVID-19 respIraTorY disease (CLARITY): statistical analysis plan for a randomised controlled Bayesian adaptive sample size trial by McGree, J M, Hockham, C, Kotwal, S, Wilcox, A, Bassi, A, Pollock, C, Burrell, L M, Snelling, T, Jha, V, Jardine, M, Jones, M

“…The CLARITY trial (Controlled evaLuation of Angiotensin Receptor Blockers for COVID-19 respIraTorY disease) is a two-arm, multi-centre, randomised controlled…”
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The oral glucose test predicts laminitis risk in ponies fed a diet high in nonstructural carbohydrates by Meier, A.D., de Laat, M.A., Reiche, D.B., Pollitt, C.C., Walsh, D.M., McGree, J.M., Sillence, M.N.

“…The aim of this study was to investigate the relationship between laminitis development in ponies and insulin/glucose concentrations in response to the oral…”
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The application of a new laminitis scoring method to model the rate and pattern of improvement from equine endocrinopathic laminitis in a clinical setting by Meier, A, McGree, J, Klee, R, Preuß, J, Reiche, D, de Laat, M, Sillence, M

“…Endocrinopathic, or hyperinsulinaemia-associated laminitis (HAL) is a common and debilitating equine foot disease, and although no pharmacological treatments…”
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Bayesian sequential design for Copula models by Senarathne, S. G. J., Drovandi, C. C., McGree, J. M.

“…Bayesian design requires determining the value of controllable variables in an experiment to maximise the information that will be obtained for subsequently…”
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A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design by McGree, J. M., Drovandi, C. C., White, G., Pettitt, A. N.

“…Motivated by the need to sequentially design experiments for the collection of data in batches or blocks, a new pseudo-marginal sequential Monte Carlo…”
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Assessing the ability of adaptive designs to capture trends in hard coral cover by Thilan, AWLP, Menéndez, P, McGree, JM

“…Coral reefs have become one of the most vulnerable ecosystems worldwide due to rising environmental and anthropogenic pressures. Methods from experimental…”
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Personalised Treatments for Acute Whiplash Injuries: a pilot study of nested N-of-1 trials in a multiple baseline single-case experimental design by Nikles, J., Tate, R.L., Mitchell, G., Perdices, M., McGree, J.M., Freeman, C., Jacob, S., Taing, M.W., Sterling, M.

“…Whiplash associated disorder (WAD), a common and disabling condition, incurs huge burden and costs to Australia. Yet, current treatments for whiplash are not…”
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A sequential Monte Carlo approach to derive sampling times and windows for population pharmacokinetic studies by McGree, J. M., Drovandi, C. C., Pettitt, A. N.

“…Here we present a sequential Monte Carlo approach that can be used to find optimal designs. Our focus is on the design of population pharmacokinetic studies…”
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Protocol: Using N-of-1 tests to identify responders to melatonin for sleep disturbance in Parkinson's disease by Nikles, J, O'Sullivan, J, Mitchell, G, Smith, S.S, McGree, J.M, Senior, H, Dissanyaka, N, Ritchie, A

“…AbstractBackground40% of Parkinson's Disease (PD) sufferers experience insomnia, impacting health and quality of life for patients and family members,…”
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Design of experiments for bivariate binary responses modelled by Copula functions by Denman, N.G., McGree, J.M., Eccleston, J.A., Duffull, S.B.

“…Optimal design for generalized linear models has primarily focused on univariate data. Often experiments are performed that have multiple dependent responses…”
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A Bayesian approach for estimating detection times in horses: exploring the pharmacokinetics of a urinary acepromazine metabolite by Mcgree, J. M., Noble, G., Schneiders, F., Dunstan, A. J., Mckinney, A. R., Boston, R., Sillence, M.

“…We describe the population pharmacokinetics of an acepromazine (ACP) metabolite (2‐(1‐hydroxyethyl)promazine) (HEPS) in horses for the estimation of likely…”
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Impact of Preoperative Serum Creatinine on Isolated Elective Aortic Valve Replacements by Villanueva, C, Ranawaka, Y, Pearse, B, Gabriel, S, McGree, J, Wall, D, Tesar, P

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Investigating design for survival models by McGree, J. M., Eccleston, J. A.

“…The aim of this paper is to derive methodology for designing ‘time to event’ type experiments. In comparison to estimation, design aspects of ‘time to event’…”
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Compound Optimal Design Criteria for Nonlinear Models by McGree, J. M., Eccleston, J. A., Duffull, S. B.

“…Three approaches for combining parameter estimation with opposing design criteria are proposed for nonlinear models. The first method discussed is the…”
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The Influence of Preoperative Anaemia on Postoperative Outcomes in First Time Elective Isolated Aortic Valve Replacement Surgery in the Prince Charles Hospital: A Ten-Year Review by Ranawaka, Y, Villanueva, C, Pearse, B, Gabriel, S, McGree, J, Nair, L, Thompson, H, Wall, D, Tesar, P

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Simultaneous versus sequential optimal design for pharmacokinetic-pharmacodynamic models with FO and FOCE considerations by McGree, J. M., Eccleston, J. A., Duffull, S. B.

“…We consider nested multiple response models which are used extensively in the area of pharmacometrics. Given the conditional nature of such models, differences…”
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Optimal designs for studying bioimpedance by McGree, J M, Duffull, S B, Eccleston, J A, Ward, L C

“…D-optimal designs for nonlinear fixed and mixed effects models are explored, and the theory is applied to the measurement and analysis of bioelectrical…”
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Developments of the total entropy utility function for the dual purpose of model discrimination and parameter estimation in Bayesian design by McGree, J.M.

“…The total entropy utility function is considered for the dual purpose of model discrimination and parameter estimation in Bayesian design. A sequential design…”
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