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Jeremy E. Oakley
Observed names:
J E Oakley,
J Oakley,
J. E. Oakley,
J. Oakley,
J.E. Oakley,
Jeremy E Oakley,
Jeremy Oakley,
Oakley, Jeremy,
Oakley, Jeremy E.
show all 9
Observed institutions:
University of Nottingham,
Durham University,
University of Exeter,
London School of Hygiene & Tropical Medicine,
MRC/UVRI & LSHTM Uganda Research Unit,
University of Sheffield,
Uganda Virus Research Institute
show all 7
ORCID:
0000-0002-9860-4093
Observed ORCID:
0000-0002-9860-4093
OpenAlex ID:
A5016313864
Uncertain Judgements: Eliciting Experts' Probabilities
2006
·
Anthony O'Hagan
, Caitlin E. Buck
, et al.
·
Wiley eBooks
·
1,582
Probabilistic Sensitivity Analysis of Complex Models: A Bayesian Approach
2004
·
Jeremy E. Oakley
, Anthony O'Hagan
·
Journal of the Royal Statistical Society Series B (Statistical Methodology)
·
1,106
Bayesian inference for the uncertainty distribution of computer model outputs
2002
·
J. Oakley
·
Biometrika
·
335
A systematic review and economic evaluation of alendronate, etidronate, risedronate, raloxifene and teriparatide for the prevention and treatment of postmenopausal osteoporosis
2005
·
M Stevenson
, M Lloyd Jones
, et al.
·
Health Technology Assessment
·
291
PDF
Estimating Multiparameter Partial Expected Value of Perfect Information from a Probabilistic Sensitivity Analysis Sample
2013
·
Mark Strong
, Jeremy E. Oakley
, et al.
·
Medical Decision Making
·
259
Probability is perfect, but we can't elicit it perfectly
2004
·
Anthony O'Hagan
, Jeremy E. Oakley
·
Reliability Engineering & System Safety
·
250
Gaussian process emulation of dynamic computer codes
2009
·
S. Conti
, J. P. Gosling
, et al.
·
Biometrika
·
193
A web-based tool for eliciting probability distributions from experts
2013
·
David E. Morris
, Jeremy E. Oakley
, et al.
·
Environmental Modelling & Software
·
192
PDF
Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda
2015
·
Ioannis Andrianakis
, Ian R. Vernon
, et al.
·
PLoS Computational Biology
·
176
PDF
Multivariate Gaussian Process Emulators With Nonseparable Covariance Structures
2012
·
Thomas E. Fricker
, Jeremy E. Oakley
, et al.
·
Technometrics
·
162
Estimating the Expected Value of Sample Information Using the Probabilistic Sensitivity Analysis Sample
2015
·
Mark Strong
, Jeremy E. Oakley
, et al.
·
Medical Decision Making
·
140
Managing Structural Uncertainty in Health Economic Decision Models: A Discrepancy Approach
2011
·
Mark Strong
, Jeremy E. Oakley
, et al.
·
Journal of the Royal Statistical Society Series C (Applied Statistics)
·
99
Uncertainty in prior elicitations: a nonparametric approach
2007
·
J. E. Oakley
, A. O'Hagan
·
Biometrika
·
98
Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic Epidemic Models
2018
·
Trevelyan J. McKinley
, Ian Vernon
, et al.
·
Statistical Science
·
88
PDF
Methods for expected value of information analysis in complex health economic models: developments on the health economics of interferon-β and glatiramer acetate for multiple sclerosis
2004
·
P Tappenden
, J Chilcott
, et al.
·
Health Technology Assessment
·
87
Gaussian Process Modeling in Conjunction with Individual Patient Simulation Modeling: A Case Study Describing the Calculation of Cost-Effectiveness Ratios for the Treatment of Established Osteoporosis
2004
·
M. D. Stevenson
, J. Oakley
, et al.
·
Medical Decision Making
·
83
An Efficient Method for Computing Single-Parameter Partial Expected Value of Perfect Information
2012
·
Mark Strong
, Jeremy E. Oakley
·
Medical Decision Making
·
82
PDF
Estimating Percentiles of Uncertain Computer Code Outputs
2004
·
Jeremy Oakley
·
Journal of the Royal Statistical Society Series C (Applied Statistics)
·
80
Decision-Theoretic Sensitivity Analysis for Complex Computer Models
2009
·
Jeremy E. Oakley
·
Technometrics
·
74
Probabilistic uncertainty analysis of an FRF of a structure using a Gaussian process emulator
2011
·
Thomas E. Fricker
, Jeremy E. Oakley
, et al.
·
Mechanical Systems and Signal Processing
·
61
Simulation sample sizes for Monte Carlo partial EVPI calculations
2010
·
Jeremy E. Oakley
, Alan Brennan
, et al.
·
Journal of Health Economics
·
61
Uncertainty Analysis and other Inference Tools for Complex Computer Codes
1999
·
Anthony O’hagan
, Marc C Kennedy
, et al.
·
Oxford University Press eBooks
·
61
When Is a Model Good Enough? Deriving the Expected Value of Model Improvement via Specifying Internal Model Discrepancies
2014
·
Mark Strong
, Jeremy E. Oakley
·
SIAM/ASA Journal on Uncertainty Quantification
·
60
Eliciting Gaussian process priors for complex computer codes
2002
·
Jeremy Oakley
·
Journal of the Royal Statistical Society Series D (The Statistician)
·
55
Modelling the Expected Net Benefits of Interventions to Reduce the Burden of Medication Errors
2008
·
Jonathan Karnon
, Aileen Mcintosh
, et al.
·
Journal of Health Services Research & Policy
·
52
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Works count:
102
Citation count:
6,535
H-index:
33
I10-index:
51
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