Bayesian designs to account for patient heterogeneity in phase II clinical trials

Peter F. Thall, J. Kyle Wathen

Research output: Contribution to journalReview articlepeer-review

10 Scopus citations

Abstract

Due to the rapidly increasing number of potential new treatments to be evaluated clinically, increasing costs and limited resources, it is critically important to perform early phase clinical trials efficiently. The new Bayesian methods described here and other related methods provide efficient, broadly applicable tools to address these problems.

Original languageEnglish (US)
Pages (from-to)407-411
Number of pages5
JournalCurrent opinion in oncology
Volume20
Issue number4
DOIs
StatePublished - Jul 2008

Keywords

  • Analysis of covariance
  • Bayesian design
  • Hierarchical model
  • Phase II clinical trial

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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