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CONCEPTUAL PROBLEMS IN THE DEFINITION AND INTERPRETATION OF ATTRIBUTABLE FRACTIONS

GREENLAND, SANDER, ROBINS, JAMES M.·1988·American Journal of Epidemiology

Abstract

We have argued that the concept of attributable fraction requires separation into the concepts of excess fraction, etiologic fraction, and incidence-density fraction. These quantities do not necessarily approximate one another, and the etiologic fraction is not generally estimable without strong biologic assumptions. For these reasons, care is needed in deciding which (if any) of the concepts is appropriate for a particular application. It appears that the excess fraction (like incidence proportion) will be most relevant in situations that require only consideration of whether disease occurs by a particular time. In situations that require consideration of when disease occurs, direct measures of effect on incidence time may be as relevant as or more relevant than any attributable fraction. To avoid technical complications, we have not discussed additional problems of causal attribution that can arise when exposure has multiple levels or is sustained over time, and the estimation problems that can arise when considering case-control studies, competing risks, or differential censoring. For more detailed discussions of such problems and proposed solutions, see references 11-20.

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Metadata

Authors
GREENLAND, S., & ROBINS, J. M.
Venue
American Journal of Epidemiology
Published
1988-12
Volume
128
Issue
6
Pages
1185-1197
ISSN
  • 0002-9262 (ISSN-L)
  • 1476-6256
OpenAlex
W1927040111
Cited by
414
References
0
FWCI
6.58
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: CONCEPTUAL PROBLEMS IN THE DEFINITION AND INTERPRETATION OF ATTRIBUTABLE FRACTIONS. https://app.cochat.ai/papers/10.1093/oxfordjournals.aje.a115073
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GREENLAND, S., & ROBINS, J. M. (1988). CONCEPTUAL PROBLEMS IN THE DEFINITION AND INTERPRETATION OF ATTRIBUTABLE FRACTIONS. American Journal of Epidemiology. https://doi.org/10.1093/oxfordjournals.aje.a115073

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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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