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 language | English (US) |
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Pages (from-to) | 30-36 |
Number of pages | 7 |
Journal | Journal of Thoracic Oncology |
Volume | 16 |
Issue number | 1 |
DOIs | |
State | Published - 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