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Logistic regression for two-stage case-control data
Abstract
Samples of diseased cases and nondiseased controls are drawn at random from the population at risk. After classification according to the exposure of interest, subsamples of cases and controls are selected for purposes of covariable ascertainment. A modification of the usual logistic regression analysis yields consistent estimates of covariable adjusted relative risks and their standard errors. By balancing the numbers of exposed and nonexposed for whom covariable information is ascertained within case and control samples, some efficiency may be gained over the usual single stage design, particularly when the exposure is rare and the relative risks associated with the covariables are large. The procedure may be useful also when covariable information is missing for a large part of the sample.
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Citations
Cited by
Selection of Controls in Case-Control Studies
Wacholder, S., McLaughlin, J. K., Silverman, D. T., & Mandel, J. S. (1992) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116396 · Cited by 998
Risk Factors for Preterm Birth Subtypes
Berkowitz, G. S., Blackmore-Prince, C., Lapinski, R. H., & Savitz, D. A. (1998) · Epidemiology · doi:10.1097/00001648-199805000-00011 · Cited by 306
Wacholder, S., & Hartge, P. (2005) · Encyclopedia of Biostatistics · doi:10.1002/0470011815.b2a03023 · Cited by 274
Metadata
- Authors
- BRESLOW, N. E., & CAIN, K. C.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1988
- Volume
- 75
- Issue
- 1
- Pages
- 11-20
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2031419028
- Cited by
- 387
- References
- 0
- FWCI
- 5.26
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Logistic regression for two-stage case-control data. https://app.cochat.ai/papers/10.1093/biomet/75.1.11
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- BRESLOW, N. E., & CAIN, K. C. (1988). Logistic regression for two-stage case-control data. Biometrika. https://doi.org/10.1093/biomet/75.1.11
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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.
