The application of methods to quantify attributable risk in medical practice

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Publicado en:Statistical Methods in Medical Research vol. 10, no. 3 (Jun 2001), p. 231
Autor principal: Uter, W
Otros Autores: Pfahlberg, A
Publicado:
Sage Publications Ltd.
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Acceso en línea:Citation/Abstract
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100 1 |a Uter, W 
245 1 |a The application of methods to quantify attributable risk in medical practice 
260 |b Sage Publications Ltd.  |c Jun 2001 
513 |a Journal Article 
520 3 |a Several epidemiological parameters have been introduced for quantifying the population impact of a certain exposure on morbidity on a population level, termed 'attributable risk' (AR). Of these definitions, the AR as suggested by Levin in 1953 or some algebraic transformations of it are most commonly used. A structured literature search, based on the Medline database, identified 334 original epidemiological studies dealing with this AR published between 1966 and 1996 (mostly case-control studies). A considerable increase in the number of published studies incorporating some quantification of the exposure impact on the population level in terms of the AR was observed in the last decade. However, in 64.5% of these studies no exact definition of the AR used was given. Adjustment procedures necessary in multifactorial situations were performed by only 37.5%, confidence intervals for the AR were given by only 19.3% of authors. Thus, although the increasing popularity of this important epidemiological measure is encouraging, its correct application and comprehensive reporting in medical practice should be promoted further. 
650 1 2 |a Algorithms 
650 2 2 |a Epidemiologic Methods 
650 2 2 |a Epidemiologic Studies 
650 2 2 |a Humans 
650 1 2 |a Public Health Practice 
650 1 2 |a Risk Assessment  |x methods 
653 |a Confidence intervals 
653 |a Measurement 
653 |a Databases 
653 |a Morbidity 
653 |a Application 
653 |a Adjustment 
653 |a Health services 
653 |a Popularity 
653 |a Epidemiology 
653 |a Population 
653 |a Risk 
653 |a Literature 
700 1 |a Pfahlberg, A 
773 0 |t Statistical Methods in Medical Research  |g vol. 10, no. 3 (Jun 2001), p. 231 
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