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Research

Faye Williamson

Research student

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  1. 2022
  2. Published

    Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses

    Williamson, S. F., Jacko, P. & Jaki, T., 31/10/2022, In: Computational Statistics and Data Analysis. 174, 26 p., 107407.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  3. 2020
  4. Published

    Efficient Adaptive Designs for Clinical Trials of Interventions for COVID-19

    Stallard, N., Hampson, L., Benda, N., Brannath, W., Burnett, T., Friede, T., Kimani, P. K., Koenig, F., Krisam, J., Mozgunov, P., Posch, M., Wason, J., Wassmer, G., Whitehead, J., Williamson, S. F., Zohar, S. & Jaki, T., 1/10/2020, In: Statistics in Biopharmaceutical Research. 12, 4, p. 483-497 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  5. Published

    Bayesian bandit models for the design of clinical trials

    Williamson, S. F., 2020, Lancaster University. 229 p.

    Research output: Thesis › Doctoral Thesis

  6. 2019
  7. E-pub ahead of print

    A response‐adaptive randomization procedure for multi‐armed clinical trials with normally distributed outcomes

    Williamson, S. F. & Villar, S., 19/09/2019, (E-pub ahead of print) In: Biometrics. 13 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. 2017
  9. Published

    A Bayesian adaptive design for clinical trials in rare diseases

    Williamson, F., Jacko, P., Villar, S. S. & Jaki, T. F., 09/2017, In: Computational Statistics and Data Analysis. 113, p. 136-153 17 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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