Bayesian sensitivity analysis of a model of the aortic valve von Becker, W, Rowson, J, Oakley, J.E, Yoxall, A, Manson, G, Worden, K

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Bayesian sensitivity analysis of a nonlinear finite element model von Becker, W., Oakley, J.E., Surace, C., Gili, P., Rowson, J., Worden, K.

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An extended isogeometric collocation method for fracture analysis von Fathi, F, Oakley, J.E, de Borst, R

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Assurance methods for designing a clinical trial with a delayed treatment effect von Salsbury, J.A, Oakley, J.E, Julious, S.A, Hampson, L.V

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O’Hagan, A., Buck, C.E., Daneshkhah, A., Eiser, J.R., Garthwaite, P.H., Jenkinson, D.J., Oakley, J.E., & Rakow, T. (2006). Uncertain judgements: Eliciting experts’ probabilities. Hoboken, NJ: Wiley. xiii+321 pp. US$75.00. ISBN: 978-0-470-02999-2 von Merkle, Edgar C.

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Calibration of stochastic computer simulators using likelihood emulation von Oakley, J.E, Youngman, B.D

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Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget von Jones, O.P.H, Oakley, J.E, Purshouse, R.C

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Incorporating genuine prior information about between-study heterogeneity in random effects pairwise and network meta-analyses von Ren, S, Oakley, J.E, Stevens, J.W

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Toward a unified framework for model calibration and optimisation in virtual engineering workflows von Jones, O.P.H, Oakley, J.E, Purshouse, R.C

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Assurance calculations for planning clinical trials with time-to-event outcomes von Ren, S, Oakley, J.E

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Component-level study of a decomposition-based multi-objective optimizer on a limited evaluation budget von Jones, O, Oakley, J.E, Purshouse, R

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An Efficient Method for Computing Single-Parameter Partial Expected Value of Perfect Information von Strong, M, Oakley, J.E

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When is a model good enough? Deriving the expected value of model improvement via specifying internal model discrepancies von Strong, M, Oakley, J.E

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Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: A fast, nonparametric regression-based method von Strong, M, Oakley, J.E, Brennan, A, Breeze, P

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Interventions to reduce the risk of surgically transmitted Creutzfeldt–Jakob disease: a cost-effective modelling review von Stevenson, M, Uttley, L, Oakley, J.E, Carroll, C, Chick, S.E, Wong, R

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Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity von Coveney, S, Corrado, C, Roney, C.H, O’Hare, D, Williams, S.E, O’Neill, M.D, Niederer, S.A, Clayton, R.H, Oakley, J.E, Wilkinson, R.D

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Bayesian Inference for Comorbid Disease Risks Using Marginal Disease Risks and Correlation Information From a Separate Source von Strong, M, Oakley, J.E

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Approximate Bayesian Computation and simulation-based inference for complex stochastic epidemic models von McKinley, T.J, Vernon, I, Andrianakis, I, McCreesh, N, Oakley, J.E, Nsubuga, R.N, Goldstein, M, White, R.G

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Efficient History Matching of a High Dimensional Individual Based HIV Transmission Model von Andrianakis, I, McCreesh, N, Vernon, I, McKinley, T.J, Oakley, J.E, Nsugua, R.N, Goldstein, M, White, R.G

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History matching of a complex epidemiological model of human immunodeficiency virus transmission by using variance emulation von Andrianakis, I, Vernon, I, McCreesh, N, McKinley, T.J, Oakley, J.E, Nsubuga, R.N, Goldstein, M, White, R.G

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