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Sequential Medical Trials
Abstract
In an extended review of Sequential Medical Trials by P. Armitage, the statistical principles which should govern the analysis of experimental observations, and the planning of experiments, are discussed. It is suggested that the operating-characteristic concepts of the Neyman-Pearson theory of tests are inappropriate to the analysis and interpretation of experimental data; the likelihood principle should be followed instead. The planning of medical trials under an ethical injunction against unnecessary continuance of inferior treatments is studied in some detail. The propriety of such trials is considered.
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Citations
Cited by
A practical solution to the pervasive problems ofp values
Wagenmakers, E.-J. (2007) · Psychonomic Bulletin & Review · doi:10.3758/bf03194105 · Cited by 2,490
(2013) · Cited by 1,351
Explanatory and pragmatic attitudes in therapeutical trials
Schwartz, D., & Lellouch, J. (1967) · Journal of Chronic Diseases · doi:10.1016/0021-9681(67)90041-0 · Cited by 1,185
Bayesian hypothesis testing for psychologists: A tutorial on the Savage–Dickey method
Wagenmakers, E.-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (2010) · Cognitive Psychology · doi:10.1016/j.cogpsych.2009.12.001 · Cited by 740
Marsman, M., & Wagenmakers, E.-J. (2017) · European Journal of Developmental Psychology · doi:10.1080/17405629.2016.1259614 · Cited by 267
Metadata
- Authors
- Anscombe, F. J.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1963-06
- Volume
- 58
- Issue
- 302
- Pages
- 365-383
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2009200425
- Cited by
- 339
- References
- 0
- FWCI
- 9.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Sequential Medical Trials. https://app.cochat.ai/papers/10.1080/01621459.1963.10500851
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- Anscombe, F. J. (1963). Sequential Medical Trials. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1963.10500851
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
