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Bayesian Clinical Trials

In: Frontiers of Statistical Decision Making and Bayesian Analysis

Author

Listed:
  • Ming-Hui Chen

    (University of Connecticut, Department of Statistics)

  • Dipak K. Dey

    (University of Connecticut, Department of Statistics)

  • Peter Müller

    (The University of Texas, M. D. Anderson Cancer Center, Department of Biostatistics)

  • Dongchu Sun

    (University of Missouri-Columbia, Department of Statistics)

  • Keying Ye

    (University of Texas at San Antonio, Department of Management Science and Statistics, College of Business)

Abstract

Innovative clinical trial design is one of the currently most exciting and high impact frontiers in a Bayesian analysis. The increasingly complex nature of clinical study designs and the increasing pressures for efficient and ethical design naturally lead to Bayesian approaches. In this chapter we discuss some examples of specific research problems, including adaptive and sequential trial design, sample size choice determination for longitudinal studies, and subgroup analysis.

Suggested Citation

  • Ming-Hui Chen & Dipak K. Dey & Peter Müller & Dongchu Sun & Keying Ye, 2010. "Bayesian Clinical Trials," Springer Books, in: Ming-Hui Chen & Peter Müller & Dongchu Sun & Keying Ye & Dipak K. Dey (ed.), Frontiers of Statistical Decision Making and Bayesian Analysis, chapter 0, pages 257-284, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4419-6944-6_8
    DOI: 10.1007/978-1-4419-6944-6_8
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