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Cited by 408

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ESTIMATION 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

Abstract

A linear logistic model used to estimate multiple risk functions in both cohort and case-control studies is adapted for sampling plans wherein each case is matched with R controls. The resulting methodology substantially liberalizes current practice by permitting simultaneous analysis of multiple discrete and continuous risk factors. Interactions among risk factors, and between risk factors and matching variables, may be explored. Data from two studies of oesophageal cancer, one conducted among Singapore Chinese and the other on the Caspian littoral of Iran, illustrate the methods.

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Metadata

Authors
BRESLOW, N. E., DAY, N. E., HALVORSEN, K. T., PRENTICE, R. L., & SABAI, C.
Venue
American Journal of Epidemiology
Published
1978-10
Volume
108
Issue
4
Pages
299-307
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W1906631552
Cited by
408
References
0
FWCI
16.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ESTIMATION OF MULTIPLE RELATIVE RISK FUNCTIONS IN MATCHED CASE-CONTROL STUDIES. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a112623
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BRESLOW, N. E., DAY, N. E., HALVORSEN, K. T., PRENTICE, R. L., & SABAI, C. (1978). ESTIMATION OF MULTIPLE RELATIVE RISK FUNCTIONS IN MATCHED CASE-CONTROL STUDIES. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a112623

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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.