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Pavel Mozgunov

Formerly at Lancaster University

  1. Published

    A comparison of phase I dose-finding designs in clinical trials with monotonicity assumption violation

    Abbas, R., Rossoni, C., Jaki, T., Paoletti, X. & Mozgunov, P., 1/10/2020, In: Clinical Trials. 17, 5, p. 522-534 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. Published

    A Comparison of Model-Free Phase I Dose Escalation Designs for Dual-Agent Combination Therapies

    Barnett, H., George, M., Skanji, D., Saint-Hilary, G., Jaki, T. & Mozgunov, P., 12/03/2024, In: Statistical Methods in Medical Research. 33, 2, p. 203-226

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. Published

    Adding flexibility to clinical trial designs: an example-based guide to the practical use of adaptive designs

    Burnett, T., Mozgunov, P., Pallmann, P., Villar, S. S., Wheeler, G. M. & Jaki, T., 19/11/2020, In: BMC Medicine. 18, 1, 21 p., 352.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. E-pub ahead of print

    A comparison of Bayesian information borrowing methods in basket trials and a novel proposal of modified exchangeability‐nonexchangeability method

    Daniells, L., Mozgunov, P., Bedding, A. & Jaki, T., 23/08/2023, (E-pub ahead of print) In: Statistics in Medicine.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Published

    Response adaptive designs for Phase II trials with binary endpoint based on context-dependent information measures

    Kasianova, K., Kelbert, M. & Mozgunov, P., 1/06/2021, In: Computational Statistics and Data Analysis. 158, 14 p., 107187.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. Published

    Shannon’s differential entropy asymptotic analysis in a Bayesian problem

    Kelbert, M. & Mozgunov, P., 12/2015, In: Mathematical Communications. 20, 2, p. 219-228 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  7. Published

    Generalization of Cramér-Rao and Bhattacharyya inequalities for the weighted covariance matrix

    Kelbert, M. & Mozgunov, P., 1/06/2017, In: Mathematical Communications. 22, 1, p. 25-40 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Published

    Asymptotic behaviour of the weighted Renyi, Tsallis and Fisher entropies in a Bayesian problem

    Kelbert, M. & Mozgunov, P., 1/01/2015, In: Eurasian Mathematical Journal. 6, 2, p. 6-17 12 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Published

    A comparison of various aggregation functions in multi-criteria decision analysis for drug benefit–risk assessment

    Menzies, T., Saint-Hilary, G. & Mozgunov, P., 1/05/2022, In: Statistical Methods in Medical Research. 31, 5, p. 899-916 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Published

    A review of the deterministic and diffusion approximations for stochastic chemical reaction networks

    Mozgunov, P., Beccuti, M., Horvath, A., Jaki, T. F., Sirovich, R. & Bibbona, E., 04/2018, In: Reaction Kinetics, Mechanisms and Catalysis. 123, 2, p. 289-312 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. E-pub ahead of print

    An information-theoretic Phase I/II design for molecularly targeted agents that does not require an assumption of monotonicity

    Mozgunov, P. & Jaki, T. F., 15/06/2018, (E-pub ahead of print) In: Journal of the Royal Statistical Society: Series C (Applied Statistics). 68, 2, p. 347-367 21 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  12. Published

    A benchmark for dose finding studies with continuous outcomes

    Mozgunov, P., Jaki, T. F. & Paoletti, X., 1/04/2020, In: Biostatistics. 21, 2, p. 189–201 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  13. E-pub ahead of print

    Randomized dose-escalation designs for drug combination cancer trials with immunotherapy

    Mozgunov, P., Jaki, T. F. & Paoletti, X., 23/10/2018, (E-pub ahead of print) In: Journal of Biopharmaceutical Statistics. 29, 2, p. 359-377 19 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  14. Published

    Loss Functions in Restricted Parameter Spaces and Their Bayesian Applications

    Mozgunov, P., Jaki, T. F. & Gasparini, M., 3/10/2019, In: Journal of Applied Statistics. 46, 13, p. 2314-2337 24 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  15. Published

    An information-theoretic approach for selecting arms in clinical trials

    Mozgunov, P. & Jaki, T. F., 10/11/2020, In: Journal of the Royal Statistical Society: Series B (Statistical Methodology). 82, 5, p. 1223-1247 25 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  16. Published

    A flexible design for advanced Phase I/II clinical trials with continuous efficacy endpoints

    Mozgunov, P. & Jaki, T., 1/11/2019, In: Biometrical Journal. 61, 6, p. 1477-1492 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  17. Published

    Improving safety of the continual reassessment method via a modified allocation rule

    Mozgunov, P. & Jaki, T., 30/03/2020, In: Statistics in Medicine. 39, 7, p. 906-922 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  18. Published

    A surface-free design for phase I dual-agent combination trials

    Mozgunov, P., Gasparini, M. & Jaki, T., 1/10/2020, In: Statistical Methods in Medical Research. 29, 10, p. 3093-3109 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  19. Published

    Using a Dose-Finding Benchmark to Quantify the Loss Incurred by Dichotomisation in Phase II Dose-Ranging Studies

    Mozgunov, P., Jaki, T. & Paoletti, X., 1/11/2020, In: Biometrical Journal. 62, 7, p. 1717-1729 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  20. Published

    A Benchmark for Dose Finding Studies with Unknown Ordering

    Mozgunov, P., Paoletti, X. & Jaki, T., 31/07/2022, In: Biostatistics. 23, 3, p. 721-737 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  21. Published

    Using an Interaction Parameter in Model-Based Phase I Trials for Combination Treatments? A Simulation Study

    Mozgunov, P., Knight, R., Barnett, H. & Jaki, T., 5/01/2021, In: International Journal of Environmental Research and Public Health. 18, 1, 19 p., 345.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  22. Published

    Practical implementation of the partial ordering continual reassessment method in a Phase I combination‐schedule dose‐finding trial

    Mozgunov, P., Jaki, T., Gounaris, I., Goddemeier, T., Victor, A. & Grinberg, M., 30/12/2022, In: Stat. Med.. 41, 30, p. 5789-5809 21 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  23. Published

    A novel measure of drug benefit–risk assessment based on Scale Loss Score

    Saint-Hilary, G., Robert, V., Gasparini, M., Jaki, T. F. & Mozgunov, P., 1/09/2019, In: Statistical Methods in Medical Research. 28, 9, p. 2738-2753 16 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  24. Published

    What is the expected benefit of patient-centric clinical development in oncology?

    Serra, A., Mozgunov, P., Jaki, T. & Rigat, F., 31/07/2022, In: Journal of Biopharmaceutical Statistics. 32, 3, p. 414-426 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  25. Published

    A Bayesian multi‐arm multi‐stage clinical trial design incorporating information about treatment ordering

    Serra, A., Mozgunov, P. & Jaki, T., 20/07/2023, In: Statistics in Medicine. 42, 16, p. 2841-2854 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  26. 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/MagazineJournal articlepeer-review

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