Document Detail

Estimating the population attributable risk for multiple risk factors using case-control data.
MedLine Citation:
PMID:  4050778     Owner:  NLM     Status:  MEDLINE    
A straightforward and unified approach is presented for the calculation of the population attributable risk per cent (etiologic fraction) in the general multivariate setting, with emphasis on using data from case-control studies. The summary attributable risk for multiple factors can be estimated, with or without adjustment for other (confounding) risk factors. The relation of this approach to procedures in the literature is discussed. Given values of the relative risks for various combinations of factors, all that is required is the distribution of these factors among the cases only. The required information can often be estimated solely from case-control data, and in some situations relative risk estimates from one population can be applied to calculation of attributable risk for another population. The authors emphasize the benefits to be obtained from logistic regression models, so that risks need not be estimated separately in a large number of strata, some of which may contain inadequate numbers of individuals. This approach allows incorporation of important interactions between factors, but does not require that all possible interactions be included. The approach is illustrated with data on four risk factors from a pair-matched case-control study of participants in a multicenter breast cancer screening project.
P Bruzzi; S B Green; D P Byar; L A Brinton; C Schairer
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  American journal of epidemiology     Volume:  122     ISSN:  0002-9262     ISO Abbreviation:  Am. J. Epidemiol.     Publication Date:  1985 Nov 
Date Detail:
Created Date:  1985-11-07     Completed Date:  1985-11-07     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  7910653     Medline TA:  Am J Epidemiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  904-14     Citation Subset:  IM    
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MeSH Terms
Breast / pathology
Breast Neoplasms / etiology*,  genetics,  pathology
Epidemiologic Methods
Maternal Age
Models, Biological
Statistics as Topic*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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