The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Logistic disease incidence models and case-control studies
Abstract
The probability of disease development in a defined time period is described by a logistic regression model. A model for the regression variable, given disease status, is induced and is applied to case-control data. It is shown that the odds ratio estimators and their asymptotic variance matrices may be obtained by applying the original logistic regression model to the case-control study as if the data had been obtained in a prospective study. This result gives a flexible and convenient method of analysis for a range of case-control studies in which stratum sizes are reasonably large. The work extends Anderson's (1972) results on logistic discrimination and generalizes the findings of Breslow & Powers (1978) on the equivalence of odds ratio estimators when both prospective and retrospective logistic models are applied to case-control data.
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Citations
Cites
Statistical Aspects of the Analysis of Data From Retrospective Studies of Disease
(1959) · JNCI: Journal of the National Cancer Institute · doi:10.1093/jnci/22.4.719 · Cited by 14,689
Separate sample logistic discrimination
ANDERSON, J. A. (1972) · Biometrika · doi:10.1093/biomet/59.1.19 · Cited by 639
Maximum-Likelihood Estimation of Parameters Subject to Restraints
Aitchison, J., & Silvey, S. D. (1958) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177706538 · Cited by 595
Retrospective studies and failure time models
PRENTICE, R. L., & BRESLOW, N. E. (1978) · Biometrika · doi:10.1093/biomet/65.1.153 · Cited by 426
Self-citationESTIMATION OF MULTIPLE RELATIVE RISK FUNCTIONS IN MATCHED CASE-CONTROL STUDIES
BRESLOW, N. E., DAY, N. E., HALVORSEN, K. T., PRENTICE, R. L., & SABAI, C. (1978) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a112623 · Cited by 408
Self-citationUse of the Logistic Model in Retrospective Studies
Prentice, R. (1976) · Biometrics · doi:10.2307/2529748 · Cited by 244
Self-citationSome Results on the Estimation of Logistic Models Based on Retrospective Data
Farewell, V. T. (1979) · Biometrika · doi:10.1093/biomet/66.1.27 · Cited by 98
Are There Two Logistic Regressions for Retrospective Studies?
Breslow, N. E., & Powers, W. A. (1978) · Biometrics · doi:10.2307/2529594 · Cited by 93
Cited by
Logistic Regression in Rare Events Data
King, G., & Zeng, L. (2001) · Political Analysis · doi:10.1093/oxfordjournals.pan.a004868 · Cited by 4,316
Explaining Rare Events in International Relations
King, G., & Zeng, L. (2001) · International Organization · doi:10.1162/00208180152507597 · Cited by 774
Principles of Statistical Inference
Cox, D. R. (2006) · doi:10.1017/cbo9780511813559 · Cited by 670
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
Metadata
- Authors
- PRENTICE, R. L., & PYKE, R.
- Venue
- Biometrika
- Publisher
- Oxford University Press (OUP)
- Published
- 1979
- Volume
- 66
- Issue
- 3
- Pages
- 403-411
- ISSN
- 0006-3444 (ISSN-L)
- 1464-3510
- OpenAlex
- W2018144913
- Cited by
- 1,085
- References
- 8
- FWCI
- 8.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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