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A web-based tool for eliciting probability distributions from experts

Environmental modelling & software : with environment data news, 2014-02, Vol.52, p.1-4

2014

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Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda

PLoS computational biology, 2015-01, Vol.11 (1), p.e1003968-e1003968

2015

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Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds

Scientific reports, 2022-10, Vol.12 (1), p.16572-16572, Article 16572

2022

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Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample: A Nonparametric Regression Approach

Medical decision making, 2014-04, Vol.34 (3), p.311-326

2014

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Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators

Frontiers in physiology, 2021-07, Vol.12, p.693015

2021

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Universal test, treat, and keep: improving ART retention is key in cost-effective HIV control in Uganda

BMC infectious diseases, 2017-05, Vol.17 (1), p.322-322, Article 322

2017

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Choice of time horizon critical in estimating costs and effects of changes to HIV programmes

PloS one, 2018-05, Vol.13 (5), p.e0196480-e0196480

2018

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Corrigendum: Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators

Frontiers in physiology, 2021-10, Vol.12, p.765622-765622

2021

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Improving ART programme retention and viral suppression are key to maximising impact of treatment as prevention - a modelling study

BMC infectious diseases, 2017-08, Vol.17 (1), p.557-557, Article 557

2017

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Estimating the Expected Value of Sample Information Using the Probabilistic Sensitivity Analysis Sample: A Fast, Nonparametric Regression-Based Method

Medical decision making, 2015-07, Vol.35 (5), p.570-583

2015

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An Efficient Method for Computing Single-Parameter Partial Expected Value of Perfect Information

Medical decision making, 2013-08, Vol.33 (6), p.755-766

2013

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Incorporating Genuine Prior Information about Between-Study Heterogeneity in Random Effects Pairwise and Network Meta-analyses

Medical decision making, 2018-05, Vol.38 (4), p.531-542

2018

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Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2020-06, Vol.378 (2173), p.20190345-20190345

2020

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Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds

IEEE transactions on biomedical engineering, 2020-01, Vol.67 (1), p.99-109

2020

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Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget

2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, p.1399-1405

2021

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Simulation sample sizes for Monte Carlo partial EVPI calculations

Journal of health economics, 2010-05, Vol.29 (3), p.468-477

2010

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Toward a unified framework for model calibration and optimisation in virtual engineering workflows

2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019, p.3148-3153

2019

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Bayesian Inference for Comorbid Disease Risks Using Marginal Disease Risks and Correlation Information From a Separate Source

Medical decision making, 2011-07, Vol.31 (4), p.571-581

2011

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Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2020-06, Vol.378 (2173), p.1-16

2020

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Probability is perfect, but we can't elicit it perfectly

Reliability engineering & system safety, 2004-07, Vol.85 (1), p.239-248

2004

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A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology

2022 Computing in Cardiology (CinC), 2022, Vol.498, p.1-4

2022

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Component-level study of a decomposition-based multi-objective optimizer on a limited evaluation budget

Proceedings of the Genetic and Evolutionary Computation Conference, 2018, p.689-696

2018

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Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda: e1003968

PLoS computational biology, 2015-01, Vol.11 (1)

2015

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Recent Advances in the Elicitation of Uncertainty Distributions from Experts for Multinomial Probabilities

Expert Judgement in Risk and Decision Analysis, p.19-51

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Intro

Uncertain Judgements, 2006

2006

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A web-based tool for eliciting probability distributions from experts

Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda

Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds

Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample: A Nonparametric Regression Approach

Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators

Universal test, treat, and keep: improving ART retention is key in cost-effective HIV control in Uganda

Choice of time horizon critical in estimating costs and effects of changes to HIV programmes

Corrigendum: Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators

Improving ART programme retention and viral suppression are key to maximising impact of treatment as prevention - a modelling study

Estimating the Expected Value of Sample Information Using the Probabilistic Sensitivity Analysis Sample: A Fast, Nonparametric Regression-Based Method

An Efficient Method for Computing Single-Parameter Partial Expected Value of Perfect Information

Incorporating Genuine Prior Information about Between-Study Heterogeneity in Random Effects Pairwise and Network Meta-analyses

Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity

Probabilistic Interpolation of Uncertain Local Activation Times on Human Atrial Manifolds

Simulation-based engineering design: solving parameter inference and multi-objective optimization problems on a shared simulation budget

Simulation sample sizes for Monte Carlo partial EVPI calculations

Toward a unified framework for model calibration and optimisation in virtual engineering workflows

Bayesian Inference for Comorbid Disease Risks Using Marginal Disease Risks and Correlation Information From a Separate Source

Gaussian process manifold interpolation for probabilistic atrial activation maps and uncertain conduction velocity

Probability is perfect, but we can't elicit it perfectly

A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology

Component-level study of a decomposition-based multi-objective optimizer on a limited evaluation budget

Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda: e1003968

Recent Advances in the Elicitation of Uncertainty Distributions from Experts for Multinomial Probabilities

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