Applications of Bayesian Methods to Medical Device Trials
Abstract
The fundamental idea in the Bayesian approach is that one’s uncertainty about an unknown quantity of interest is represented by probabilities for possible values of that quantity. For instance, unknown quantities of interest in device trials are the parameters of the clinical safety and effectiveness distribution for the treated and control groups. 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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References 37 · Cited by 5
- Authors
- Irony, T. Z., & Simon, R.
- Affiliations
- United States Food and Drug Administration (US)
- National Institutes of Health (US)
- Venue
- Clinical Evaluation of Medical Devices
- Publisher
- Humana Press
- Published
- 2007-11-03
- Pages
- 99-116
- OpenAlex
- W16252803
- Cited by
- 5
- References
- 37
- Citations by year
- 2023: 1 · 2018: 2 · 2017: 1 · 2012: 1
- FWCI
- 0.00
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Humana Press eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Distribution Estimation and Applications
- Keywords
- Bayesian analysis, medical device trials, clinical trials, uncertainty quantification, clinical features, probability distributions
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