Bayesian approaches to randomized trials
Abstract
David J. Spiegelhalter, Laurence S. Freedman, Mahesh K. B. Parmar, Bayesian Approaches to Randomized Trials, Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 157, No. 3 (1994), pp. 357-416
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The adoption of a Bayesian scheme is motivated by practical rather than ideological considerations: Bayesian methods afford a rational way of accumulating evidence as new data are generated across experiments and their replicates, where such evidence can support inferences about the existence or absence of some phenomenon or effect.
“First, the adoption of a Bayesian scheme is motivated by practical rather than ideological considerations: Bayesian methods afford a rational way of accumulating evidence as new data are generated across experiments (and their replicates), where such evidence can support inferences about the existence or the absence of some phenomenon or effect”
From Integrated information and predictive processing theories of consciousness: An adversarial collaborative review (2026) · cites this paper as Spiegelhalter et al., 1994
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- Authors
- Spiegelhalter, D. J., Freedman, L. S., & Parmar, M. K. B.
- Affiliations
- MRC Biostatistics Unit (GB)
- National Cancer Institute (US)
- Medical Research Council (GB)
- Venue
- Journal of the Royal Statistical Society. Series A (Statistics in Society)
- Publisher
- Oxford University Press (OUP)
- Published
- 1994
- Volume
- 157
- Issue
- 3
- Pages
- 357
- ISSN
- 0964-1998 (ISSN-L)
- OpenAlex
- W1991058132
- Cited by
- 720
- References
- 96
- Citations by year
- 2026: 16 · 2025: 21 · 2024: 29 · 2023: 26 · 2022: 25 · 2021: 42 · 2020: 31 · 2019: 26 · 2018: 36 · 2017: 18 · 2016: 15 · 2015: 17 · 2014: 34 · 2013: 21 · 2012: 12
- FWCI
- 13.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the Royal Statistical Society Series A (Statistics in Society) (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- 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 › Probability and Statistical Research
- Keywords
- Bayesian analysis, randomized controlled trials, clinical trials, treatment effect estimation
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