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Separate sample logistic discrimination
Abstract
The problem of discrimination when all or most of the observations are qualitative is discussed. The method of logistic discrimination introduced by Cox (1966) and Day & Kerridge (1967) is extended to the situation where separate samples are taken from each population, using the results of Aitchison & Silvey (1958) on constrained maximum likelihood estimation. The method is further extended to discrimination between three or more populations. The properties of logistic discrimination are investigated by simulation and the method is applied to the differential diagnosis of kerato-conjundivitis sicca.
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Cited by
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Assessment of diagnostic tests when disease verification is subject to selection bias
Begg, C. B., & Greenes, R. A. (1983) · Biometrics · doi:10.2307/2530820 · Cited by 708
Maximum likelihood estimation of the attributable fraction from logistic models.
Greenland, S., & Drescher, K. (1993) · Biometrics · doi:10.2307/2532206 · Cited by 565
Regression and ordered categorical variables
Anderson, J. A. (1984) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1984.tb01270.x · Cited by 574
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Metadata
- Authors
- ANDERSON, J. A.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1972-04-01
- Volume
- 59
- Issue
- 1
- Pages
- 19-35
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2107784689
- Cited by
- 639
- References
- 0
- FWCI
- 8.44
- Type
- journal article
- Language
- en
- Open access
- closed
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