Journal article
Comment on “Bayesian additional evidence for decision making under small sample uncertainty”
21 Dec 2021
PMID: 35614410
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
AbstractWe examine the concept of Bayesian Additional Evidence (BAE) recently proposed by Sondhi et al. We derive simple closed-form expressions for BAE and compare its properties with other methods for assessing findings in the light of new evidence. We find that while BAE is easy to apply, it lacks both a compelling rationale and clarity of use needed for reliable decision-making.
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Details
- Title
- Comment on “Bayesian additional evidence for decision making under small sample uncertainty”
- Creators
- Samuel PawelLeonhard HeldRobert Matthews
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000802026600001
- Scopus ID
- 2-s2.0-85130726935
- Other Identifier
- 991021811742304721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Health Care Sciences & Services