World's Best Scientists 2026 revealed!

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Mathematics

D-Index
61
Citations
27432
World Ranking
497
National Ranking
35

Overview

Anthony O'Hagan is affiliated with the University of Sheffield in the United Kingdom. Their research activity spans multiple domains primarily related to statistics, measurement, and clinical applications.

O'Hagan's recent scholarly contributions include papers published between 2020 and 2023 in diverse journals. Notable works are:

  • "Response (minimum clinically relevant change) in ASD symptoms after an intervention according to CARS-2: consensus from an expert elicitation procedure," 2021, European Child & Adolescent Psychiatry
  • "Meaningful expression of uncertainty in measurement," 2022, Accreditation and Quality Assurance
  • "Eliciting judgements about dependent quantities of interest: The SHeffield ELicitation Framework extension and copula methods illustrated using an asthma case study," 2022, Pharmaceutical Statistics
  • "Predictively consistent prior effective sample sizes," 2020, Biometrics
  • "Simple informative prior distributions for Type A uncertainty evaluation in metrology," 2023, Metrologia

Frequent coauthors alongside O'Hagan include Lucie Jurek, Matias Baltazar, Sheffali Gulati, Neda Novaković, and María Núñez. These collaborations illustrate interdisciplinary engagement and ongoing research partnerships.

Key venues where O'Hagan's work appears often represent biomedical, life sciences, and statistical fields. These include:

  • The biomedical & life sciences collection
  • European Child & Adolescent Psychiatry
  • Biometrics
  • Accreditation and Quality Assurance
  • Pharmaceutical Statistics

The main fields of study associated with O'Hagan's publications encompass:

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Pulmonary and Respiratory Medicine
  • Cognitive Neuroscience
  • Cardiology and Cardiovascular Medicine

The research topics they explore cover several specialized areas such as:

  • Statistical Methods in Clinical Trials
  • Scientific Measurement and Uncertainty Evaluation
  • Advanced Causal Inference Techniques
  • Autism Spectrum Disorder Research
  • Cardiac pacing and defibrillation studies
  • Advanced Measurement and Metrology Techniques
  • Sensor Technology and Measurement Systems

Best Publications

  • Bayesian Calibration of computer models

    Marc C. Kennedy;Anthony O'Hagan

  • Uncertain Judgements: Eliciting Experts' Probabilities

    Anthony O'Hagan;Caitlin E. Buck;Alireza Daneshkhah;J. Richard Eiser

  • Predicting the output from a complex computer code when fast approximations are available

    MC Kennedy;A O'Hagan

  • Probabilistic sensitivity analysis of complex models: a Bayesian approach

    Jeremy E. Oakley;Anthony O'Hagan

  • Fractional Bayes factors for model comparison

    Anthony O'Hagan

  • Statistical Methods for Eliciting Probability Distributions

    Paul H Garthwaite;Joseph B Kadane;Anthony O'Hagan

  • Curve Fitting and Optimal Design for Prediction

    A. O'Hagan

  • Bayesian analysis of computer code outputs: A tutorial

    Anthony O'Hagan

  • Review of statistical methods for analysing healthcare resources and costs.

    Borislava Mihaylova;Andrew Briggs;Anthony O'Hagan;Simon G. Thompson

  • An overview of robust Bayesian analysis

    James O. Berger;Elías Moreno;Luis Raul Pericchi;M. Jesús Bayarri

  • Bayesian emulation of complex multi-output and dynamic computer models

    Stefano Conti;Anthony O’Hagan

  • Diagnostics for Gaussian Process Emulators

    Leonardo Soares Bastos;Anthony O'Hagan

  • Robust meta-analytic-predictive priors in clinical trials with historical control information

    Heinz Schmidli;Sandro Gsteiger;Satrajit Roychoudhury;Anthony O'Hagan

  • Bayesian inference for the uncertainty distribution of computer model outputs

    Jeremy Oakley;Anthony O'Hagan

  • Bayes estimation subject to uncertainty about parameter constraints

    A. O'hagan;Tom Leonard

  • Eliciting expert beliefs in substantial practical applications

    A. O'Hagan

  • Model-based geostatistics. Discussion. Authors' reply

    P. J. Diggle;J. A. Tawn;R. A. Moyeed;R. Webster

  • Bayes–Hermite quadrature

    A. O'Hagan

  • On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply

    S. Richardson;P. J. Green;C. P. Robert;M. Aitkin

  • Bayesian inference for non-stationary spatial covariance structure via spatial deformations

    Alexandra M. Schmidt;Anthony O'Hagan

Frequent Co-Authors

Paul H. Garthwaite
Paul H. Garthwaite The Open University
J. Richard Eiser
J. Richard Eiser University of Sheffield
John Brazier
John Brazier University of Sheffield
Joseph B. Kadane
Joseph B. Kadane Carnegie Mellon University
Adrian E. Raftery
Adrian E. Raftery University of Washington
Keith R. Abrams
Keith R. Abrams University of Leicester
Karl Claxton
Karl Claxton University of York
Jane Falkingham
Jane Falkingham University of Southampton
Adrian F. M. Smith
Adrian F. M. Smith Imperial College London
Jennifer Roberts
Jennifer Roberts University of Sheffield

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