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Cited by 565

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Multiplicative Models and Cohort Analysis

Breslow, N. E., Lubin, J. H., Marek, P., Langholz, B.·1983·Journal of the American Statistical Association
DOI 10.1080/01621459.1983.10477915
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Abstract

Three methods of cohort analysis are presented for a statistical model wherein the explanatory or exposure variables act multiplicatively on age × calendar year specific death rates. The first method, which assumes that the baseline rates are known from national vital statistics, is a multiple regression analysis of the standardized mortality ratio. The second method is a variant of Cox's proportional hazards analysis in which the baseline rates are treated as unknown nuisance parameters. The third method consists of case-control sampling from the risk sets formed in the course of applying Cox's model. It requires substantially less computation than do the other two. In illustrative analysis of respiratory cancer deaths among a cohort of smelter workers, all three approaches yield roughly equivalent estimates of the relative risk associated with arsenic exposure. The discussion centers on the tradeoff between efficiency and bias in the selection of a particular method of analysis, and on practical issues that arise in applications.

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Research works printed but not linked: 51

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Metadata

Authors
Breslow, N. E., Lubin, J. H., Marek, P., & Langholz, B.
Venue
Journal of the American Statistical Association
Publisher
Informa UK Limited
Published
1983-03
Volume
78
Issue
381
Pages
1-12
ISSN
  • 0162-1459 (ISSN-L)
  • 1537-274X
DOI
10.1080/01621459.1983.10477915
OpenAlex
W2097761061
Cited by
565
References
3
FWCI
22.39
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Multiplicative Models and Cohort Analysis. https://app.cochat.ai/papers/10.1080/01621459.1983.10477915
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Breslow, N. E., Lubin, J. H., Marek, P., & Langholz, B. (1983). Multiplicative Models and Cohort Analysis. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1983.10477915

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