Literature DB >> 18704701

Problems in using incidence to analyze risk factors in follow-up studies.

J Pekkanen1, J Sunyer.   

Abstract

The most common practice to analyze epidemiological follow-up studies is to analyze risk factors of new, i.e. incident, cases of disease. However, analysis of incidence assumes that diseases exist in true dichotomies, which is unlikely to be true. It has also recently been shown that in many typical situations it is very difficult to separate the association between risk factors of disease at baseline and during follow-up using analyses of incidence. Situation is especially problematic for diseases that have large misclassification and low incidence, like asthma. We suggest that reliance on analysis of incidence may be a major obstacle into discovering causes of such disease. Only with greater attention into how to define and how to analyze prospective studies are we likely to learn sufficiently of risk factors of such disease to finally arrive at means for their prevention.

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Year:  2008        PMID: 18704701     DOI: 10.1007/s10654-008-9280-0

Source DB:  PubMed          Journal:  Eur J Epidemiol        ISSN: 0393-2990            Impact factor:   8.082


  17 in total

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4.  Bias due to misclassification in the estimation of relative risk.

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5.  Use of the positive predictive value to correct for disease misclassification in epidemiologic studies.

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Review 8.  Coronary arteriography in the study of the epidemiology of coronary artery disease.

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Authors:  S Chinn; D Jarvis; P Burney; C Luczynska; U Ackermann-Liebrich; J M Antó; I Cerveri; R De Marco; T Gislason; J Heinrich; C Janson; N Künzli; B Leynaert; F Neukirch; J Schouten; J Sunyer; C Svanes; P Vermeire; M Wjst
Journal:  Thorax       Date:  2004-08       Impact factor: 9.139

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9.  The Rotterdam Study: 2010 objectives and design update.

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10.  Selection and Misclassification Biases in Longitudinal Studies.

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  10 in total

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