The DOI matches its Crossref record.
Simplified Models of Screening for Chronic Disease: Estimation Procedures from Mass Screening Programmes
Abstract
The performance of a screening programme depends on a number of parameters, which may need different types of information for their estimation. In this paper, two characteristics of interest, the sojourn-time distribution and the sensitivity, are considered, and estimation procedures, based on data which should be available from a mass screening programme, are proposed. The methods are applied to published data from the HIP breast cancer screening project, to which a negative exponential distribution for the sojourn-time distribution fitted better than the other families of distribution considered.
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Cited by
Twenty-five years of breast cancer risk models and their applications
Gail, M. H. (2015) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djv042 · Cited by 56
Metadata
- Authors
- Day, N. E., & Walter, S. D.
- Venue
- Biometrics
- Publisher
- JSTOR
- Published
- 1984-03
- Volume
- 40
- Issue
- 1
- Pages
- 1
- ISSN
- 0006-341X (ISSN-L)
- OpenAlex
- W2331522917
- Cited by
- 263
- References
- 0
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Simplified Models of Screening for Chronic Disease: Estimation Procedures from Mass Screening Programmes. https://app.cochat.ai/papers/10.2307/2530739
- The paper
- Day, N. E., & Walter, S. D. (1984). Simplified Models of Screening for Chronic Disease: Estimation Procedures from Mass Screening Programmes. Biometrics. https://doi.org/10.2307/2530739
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.
