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MRC Biostatistics Unit



Thomas Jaki is an MRC Investigator (Programme Leader) at the MRC Biostatistics Unit in the Effiecient Study Design theme, and is also Chair for Computational Statstics at the University of Regensburg.

Thomas' research interests include; statistical mehtods in health research, experimental design, sample size determination, statistical tests and confidence intervals. Thomas has significantly contributed to platform studies, including his work during the COVID-19 panedemic on the RECOVERY Trial.

Selected Papers

  • Jaki T, Burdon A, Chen X, Mozgunov P, Zheng H, Baird R (accepted) Early phase clinical trials in oncology: realising the potential of seamless designs. European Journal of Cancer :
  • Barnett H, Villar SS, Geys H, Jaki T. (2023) A Novel Statistical Test for Treatment Differences in Clinical Trials using a Response Adaptive Forward Looking Gittins Index Rule. Biometrics 79: (1):86-97
  • Horby P, Lim WS, Emberson J, Mafham M, Bell J, Linsell L, Staplin N, Brightling C, Ustianowski A, Elmahi E, Prudon B., Green C, Felton T, Chadwick D, Rege K, Fegan C, Chappell LC, Faust SN, Jaki T, Jeffery K, Montgomery A, Rowan K, Juszczak E, Baillie K, Haynes R, Landray MJ. (2021) Effect of Dexamethasone in Hospitalized Patients with COVID-19. New England Journal of Medicine 384: 693-704
  • Burnett T, Mozgunov P, Pallmann P, Villar S, Wheeler G, Jaki T. (2020) Adding flexibility to clinical trials designs: an example-based guide to the practical use of adaptive designs. BMC Medicine 18: 352
  • Mozgunov P, Jaki T. (2020) An information-theoretic approach for selecting arms in clinical trials. Journal of the Royal Statistical Society - Series B. 82: 1223-1247
MRC Investigator (Programme Leader)
Thomas Jaki