Principles and Reporting of Bayesian Trials

J. Jack Lee, Guosheng Yin

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Bayesian clinical trials are becoming popular owing to their adaptive, flexible, and versatile nature. Such trials typically require specification of the prior distribution and construction of the likelihood function; subsequently, inference is made on the basis of the posterior distribution. In comparison with frequentist trial designs, there are less established guidelines on how to report Bayesian trials. We provide a general overview on key components of the design, conduct, and analysis of Bayesian trials and elaborate on the reporting guidelines dos and don'ts.

Original languageEnglish (US)
Pages (from-to)30-36
Number of pages7
JournalJournal of Thoracic Oncology
Volume16
Issue number1
DOIs
StatePublished - Jan 2021

Keywords

  • Bayesian design
  • Posterior distribution
  • Prior distributions
  • Reporting
  • Statistical inference

ASJC Scopus subject areas

  • Oncology
  • Pulmonary and Respiratory Medicine

MD Anderson CCSG core facilities

  • Biostatistics Resource Group

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