Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer
Abstract All observational studies are liable to confounding and Levin’s formula becomes useless in practice for unbiasedly estimating PAF. With respect to causal interpretation of PAF in public health setting, unbiased estimation of PAF requires several assumptions which are ignored in practice. We...
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doaj-471f190acc9740cd8a76e018cca6b33b2020-11-25T03:37:30ZengBMCEnvironmental Health1476-069X2019-06-011811210.1186/s12940-019-0490-6Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancerAhmad Khosravi0Mohammad Ali Mansournia1Department of Epidemiology, School of Public Health, Shahroud University of Medical SciencesDepartment of Epidemiology and Biostatistics, Tehran University of Medical SciencesAbstract All observational studies are liable to confounding and Levin’s formula becomes useless in practice for unbiasedly estimating PAF. With respect to causal interpretation of PAF in public health setting, unbiased estimation of PAF requires several assumptions which are ignored in practice. We recommend using Miettinen PAF formula with careful consideration about possibility of bias in study design and analysis.http://link.springer.com/article/10.1186/s12940-019-0490-6Population attributable fractionConfounding, ecological study |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ahmad Khosravi Mohammad Ali Mansournia |
spellingShingle |
Ahmad Khosravi Mohammad Ali Mansournia Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer Environmental Health Population attributable fraction Confounding, ecological study |
author_facet |
Ahmad Khosravi Mohammad Ali Mansournia |
author_sort |
Ahmad Khosravi |
title |
Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer |
title_short |
Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer |
title_full |
Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer |
title_fullStr |
Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer |
title_full_unstemmed |
Issues with incorrect computing of population attributable fraction (PAF) in a global perspective on coal-fired power plants and burden of lung cancer |
title_sort |
issues with incorrect computing of population attributable fraction (paf) in a global perspective on coal-fired power plants and burden of lung cancer |
publisher |
BMC |
series |
Environmental Health |
issn |
1476-069X |
publishDate |
2019-06-01 |
description |
Abstract All observational studies are liable to confounding and Levin’s formula becomes useless in practice for unbiasedly estimating PAF. With respect to causal interpretation of PAF in public health setting, unbiased estimation of PAF requires several assumptions which are ignored in practice. We recommend using Miettinen PAF formula with careful consideration about possibility of bias in study design and analysis. |
topic |
Population attributable fraction Confounding, ecological study |
url |
http://link.springer.com/article/10.1186/s12940-019-0490-6 |
work_keys_str_mv |
AT ahmadkhosravi issueswithincorrectcomputingofpopulationattributablefractionpafinaglobalperspectiveoncoalfiredpowerplantsandburdenoflungcancer AT mohammadalimansournia issueswithincorrectcomputingofpopulationattributablefractionpafinaglobalperspectiveoncoalfiredpowerplantsandburdenoflungcancer |
_version_ |
1724545550460649472 |