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Design and Monitoring of Randomized Clinical Trials

  • Joseph G. Ibrahim
  • Ming-Hui Chen
  • Debajyoti Sinha
Part of the Springer Series in Statistics book series (SSS)

Abstract

Bayesian approaches to the design and monitoring of randomized trials has received a great deal of recent attention. There are several articles discussing Bayesian design and monitoring of randomized trials, including Berry (1985, 1987, 1993), Freedman and Spiegelhalter (1983, 1989, 1992), Spiegelhalter and Freedman (1986, 1988), Spiegelhalter, Freedman, and Blackburn (1986), Breslow (1990), Jennison and Turnbull (1990), Thall and Simon (1994), Freedman, Spiegelhalter, and Parmar (1994), George et al. (1994), Grossman, Parmar, and Spiegelhalter (1994), Lewis and Berry (1994), Spiegelhalter, Freedman, and Parmar (1993, 1994), Rosner and Berry (1995), Adcock (1997), Joseph and Belisle (1997), Joseph, Wolfson, and DuBerger (1995), Lindley (1997), Pham-Gia (1997), Simon (1999), Simon and Freedman (1997), Weiss (1997), Bernardo and Ibrahim (2000), and Lee and Zelen (2000). In this chapter, we will review some of the basic approaches to the Bayesian design and monitoring of randomized trials as well as compare the Bayesian and frequentist approaches.

Keywords

Prior Distribution Bayesian Approach Randomized Clinical Trial Credible Interval Sample Size Determination 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 2001

Authors and Affiliations

  • Joseph G. Ibrahim
    • 1
  • Ming-Hui Chen
    • 2
  • Debajyoti Sinha
    • 3
  1. 1.Department of BiostatisticsHarvard School of Public Health and Dana-Farber Cancer InstituteBostonUSA
  2. 2.Department of Mathematical SciencesWorcester Polytechnic InstituteWorcesterUSA
  3. 3.Department of Biometry and EpidemiologyMedical Universtiy of South CarolinaCharlestonUSA

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