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Statistical issues in first‐in‐man studies

Author

Listed:
  • Stephen Senn
  • Dipti Amin
  • Rosemary A. Bailey
  • Sheila M. Bird
  • Barbara Bogacka
  • Peter Colman
  • Andrew Garrett
  • Andrew Grieve
  • Peter Lachmann

Abstract

Preface. In March 2006 a first‐in‐man trial took place using healthy volunteers involving the use of monoclonal antibodies. Within hours the subjects had suffered such adverse effects that they were admitted to intensive care at Northwick Park Hospital. In April 2006 the Secretary of State for Health announced the appointment of Professor (now Sir) Gordon Duff, who chairs the UK's Commission on Human Medicines, to chair a scientific expert group on phase 1 clinical trials. The group reported on December 7th, 2006 (Expert Scientific Group on Clinical Trials, 2006a). Clinical trials have a well‐established regulatory basis both in the UK and worldwide. Trials have to be approved by the regulatory authority and are subject to a detailed protocol concerning, among other things, the study design and statistical analyses that will form the basis of the evaluation. In fact, a cornerstone of the regulatory framework is the statistical theory and methods that underpin clinical trials. As a result, the Royal Statistical Society established an expert group of its own to look in detail at the statistical issues that might be relevant to first‐in‐man studies. The group mainly comprised senior Fellows of the Society who had expert knowledge of the theory and application of statistics in clinical trials. However, the group also included an expert immunologist and clinicians to ensure that the interface between statistics and clinical disciplines was not overlooked. In addition, expert representation was sought from Statisticians in the Pharmaceutical Industry (PSI), an organization with which the Royal Statistical Society has very close links. The output from the Society's expert group is contained in this report. It makes a number of recommendations directed towards the statistical aspects of clinical trials. As such it complements the report by Professor Duff's group and will, I trust, contribute to a safer framework for first‐in‐man trials in the future. Tim Holt (President, Royal Statistical Society)

Suggested Citation

  • Stephen Senn & Dipti Amin & Rosemary A. Bailey & Sheila M. Bird & Barbara Bogacka & Peter Colman & Andrew Garrett & Andrew Grieve & Peter Lachmann, 2007. "Statistical issues in first‐in‐man studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 170(3), pages 517-579, July.
    • Handle: RePEc:bla:jorssa:v:170:y:2007:i:3:p:517-579
    DOI: 10.1111/j.1467-985X.2007.00481.x
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    References listed on IDEAS

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    1. F. Bretz & J. C. Pinheiro & M. Branson, 2005. "Combining Multiple Comparisons and Modeling Techniques in Dose-Response Studies," Biometrics, The International Biometric Society, vol. 61(3), pages 738-748, September.
    2. P. Williamson & J. L. Hutton & J. Bliss & J. Blunt & M. J. Campbell & R. Nicholson, 2000. "Statistical review by research ethics committees," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 163(1), pages 5-13.
    3. David Simpson & Sue Lee, 2003. "Tobacco: public perceptions and the role of the industry," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 166(2), pages 233-239, June.
    4. C. P. Farrington & H. J. Whitaker, 2006. "Semiparametric analysis of case series data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 55(5), pages 553-594, November.
    5. Barnett S Kramer & Joan Wilentz & Duane Alexander & John Burklow & Lawrence M Friedman & Richard Hodes & Ruth Kirschstein & Amy Patterson & Griffin Rodgers & Stephen E Straus, 2006. "Getting It Right: Being Smarter about Clinical Trials," PLOS Medicine, Public Library of Science, vol. 3(6), pages 1-1, April.
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    1. Chaney, Paul, 2014. "Mixed-methods analysis of political parties׳ manifesto discourse on rail transport policy: Westminster, Scottish, Welsh and Northern Irish elections 1945–2011," Transport Policy, Elsevier, vol. 35(C), pages 275-285.

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