Estimation and application of population attributable fraction in ecological studies

Estimation of population attributable fraction (PAF) requires unbiased relative risk (RR) by using either Levin’s or Miettinen’s formula, on which decision depends on the available exposure information in reference group, not the types of studies. For ecological studies and studies with aggregated o...

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Autores principales: Lin, Cheng-Kuan, Chen, Szu-Ta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Letter to the Editor Response
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567453/
https://www.ncbi.nlm.nih.gov/pubmed/31196209
http://dx.doi.org/10.1186/s12940-019-0492-4
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author Lin, Cheng-Kuan
Chen, Szu-Ta
author_facet Lin, Cheng-Kuan
Chen, Szu-Ta
author_sort Lin, Cheng-Kuan
collection PubMed
description Estimation of population attributable fraction (PAF) requires unbiased relative risk (RR) by using either Levin’s or Miettinen’s formula, on which decision depends on the available exposure information in reference group, not the types of studies. For ecological studies and studies with aggregated outcomes, once having unbiased RRs, Levin’s and Miettinen’s formulae would provide identical PAF estimates. PAF could also be applied to compare relative burdens of disease between countries across time, which is an additional information in consideration of country-level policies.
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spelling pubmed-65674532019-06-17 Estimation and application of population attributable fraction in ecological studies Lin, Cheng-Kuan Chen, Szu-Ta Environ Health Letter to the Editor Response Estimation of population attributable fraction (PAF) requires unbiased relative risk (RR) by using either Levin’s or Miettinen’s formula, on which decision depends on the available exposure information in reference group, not the types of studies. For ecological studies and studies with aggregated outcomes, once having unbiased RRs, Levin’s and Miettinen’s formulae would provide identical PAF estimates. PAF could also be applied to compare relative burdens of disease between countries across time, which is an additional information in consideration of country-level policies. BioMed Central 2019-06-13 /pmc/articles/PMC6567453/ /pubmed/31196209 http://dx.doi.org/10.1186/s12940-019-0492-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Letter to the Editor Response
Lin, Cheng-Kuan
Chen, Szu-Ta
Estimation and application of population attributable fraction in ecological studies
title Estimation and application of population attributable fraction in ecological studies
title_full Estimation and application of population attributable fraction in ecological studies
title_fullStr Estimation and application of population attributable fraction in ecological studies
title_full_unstemmed Estimation and application of population attributable fraction in ecological studies
title_short Estimation and application of population attributable fraction in ecological studies
title_sort estimation and application of population attributable fraction in ecological studies
topic Letter to the Editor Response
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567453/
https://www.ncbi.nlm.nih.gov/pubmed/31196209
http://dx.doi.org/10.1186/s12940-019-0492-4
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