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Bayesian statistics in medicine: a 25 year review
1Wolfson Institute of Preventive Medicine, Barts and The London, Queen Mary's School of Medicine & Dentistry, University of London, Charterhouse Square, London EC1M 6BQ, UK. d.ashby@qmul.ac.uk
Bayesian statistics has significantly advanced in medical research since 1982. Its applications now span clinical trials, epidemiology, and complex modeling, demonstrating widespread adoption and future potential.
Area of Science:
- Medical Statistics
- Bayesian Inference
- Computational Statistics
Background:
- Statistics in Medicine journal established in 1982.
- Early stages of Bayesian methods in medical research were limited.
- Bayesian statistics was not widely recognized in medical research initially.
Purpose of the Study:
- To review the evolution of Bayesian statistics in medical research.
- To analyze the impact of Bayesian thinking and computation developments.
- To predict future trends of Bayesian statistics in medicine.
Main Methods:
- Historical review of papers published in Statistics in Medicine.
- Analysis of Bayesian statistics' application across five-year epochs.
- Contextualization with major developments in Bayesian theory and computation.
Main Results:
- Bayesian statistics has grown from sparse mentions to pervasive use.
- Significant applications are evident in clinical trials, epidemiology, and meta-analyses.
- Bayesian methods are now integral to spatial, longitudinal, survival modeling, and genetics.
Conclusions:
- Bayesian statistics is now a cornerstone of modern medical statistics.
- Its influence extends across diverse medical research areas.
- Continued growth and integration are predicted for Bayesian approaches in medicine.
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