Bayesian Clinical Trials

Ming-Hui Chen (), Dipak K. Dey (), Peter Müller (), Dongchu Sun () and Keying Ye ()
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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

Chapter Chapter 8 in Frontiers of Statistical Decision Making and Bayesian Analysis, 2010, pp 257-284 from Springer

Abstract: 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.

Keywords: Coping Style; Decision Boundary; Bayesian Model Selection; Accrual Rate; Posterior Model Probability (search for similar items in EconPapers)
Date: 2010
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DOI: 10.1007/978-1-4419-6944-6_8

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