Back to Journals » Clinical Epidemiology » Volume 10

Attributing diseases to multiple pathways: a causal-pie modeling approach

Authors Chen C, Lee WC

Received 18 December 2017

Accepted for publication 8 March 2018

Published 27 April 2018 Volume 2018:10 Pages 489—497

DOI https://doi.org/10.2147/CLEP.S160205

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Cristina Weinberg

Peer reviewer comments 3

Editor who approved publication: Professor Irene Petersen


Christine Chen,1 Wen-Chung Lee1,2

1Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan; 2Research Center for Genes, Environment and Human Health, College of Public Health, National Taiwan University, Taipei, Taiwan

Abstract: Characterizing the relations between exposures and diseases is the central tenet of epidemiology. Researchers may want to evaluate exposure-disease causation by assessing whether the disease under concern is induced by the various exposures – the so-called “attribution”. In this paper, the authors propose a method to attribute diseases to multiple pathways based on the causal-pie model. The method can also be used to evaluate the potential impact of an intervention strategy and to allocate responsibility in tort-law liability issues.

Keywords: epidemiological methods, attribution, disease pathways, causal-pie model
 

Creative Commons License This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.

Download Article [PDF]  View Full Text [HTML][Machine readable]