Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”

Abstract Population attributable fraction (PAF) refers to the proportion of all cases with a particular outcome in a population that could be prevented by eliminating a specific exposure. The authors of a recent paper evaluated the prevalence and estimated the PAFs for risk factors of TB among elder...

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Main Authors: Ahmad Khosravi, Mohammad Ali Mansournia
Format: Article
Language:English
Published: BMC 2019-08-01
Series:Infectious Diseases of Poverty
Subjects:
Online Access:http://link.springer.com/article/10.1186/s40249-019-0587-8
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spelling doaj-765b0428be9a4a76ba552f11a04c18102020-11-25T03:01:41ZengBMCInfectious Diseases of Poverty2049-99572019-08-01811310.1186/s40249-019-0587-8Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”Ahmad Khosravi0Mohammad Ali Mansournia1Department of Epidemiology, School of Public Health, Shahroud University of Medical SciencesDepartment of Epidemiology and Biostatistics, Tehran University of Medical SciencesAbstract Population attributable fraction (PAF) refers to the proportion of all cases with a particular outcome in a population that could be prevented by eliminating a specific exposure. The authors of a recent paper evaluated the prevalence and estimated the PAFs for risk factors of TB among elderly people in China [Inf Dis Poverty. 2019;8:7]. Confounding is inevitable in observational studies and Levin’s formula is of limited use in practice for unbiasedly estimating PAF. In a complex survey design, an unbiased estimation of the PAF can be calculated using a sample-weighted version of the Miettinen formula or a sample weighed parametric g-formula. With respect to causal interpretation of PAF in public health setting, computation of PAF is logical and practical when the exposure is amenable to intervention.http://link.springer.com/article/10.1186/s40249-019-0587-8Population attributable fractionConfoundingSample-weighted parametric g-formula
collection DOAJ
language English
format Article
sources DOAJ
author Ahmad Khosravi
Mohammad Ali Mansournia
spellingShingle Ahmad Khosravi
Mohammad Ali Mansournia
Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”
Infectious Diseases of Poverty
Population attributable fraction
Confounding
Sample-weighted parametric g-formula
author_facet Ahmad Khosravi
Mohammad Ali Mansournia
author_sort Ahmad Khosravi
title Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”
title_short Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”
title_full Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”
title_fullStr Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”
title_full_unstemmed Recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in China: a population based cross-sectional study”
title_sort recommendation on unbiased estimation of population attributable fraction calculated in “prevalence and risk factors of active pulmonary tuberculosis among elderly people in china: a population based cross-sectional study”
publisher BMC
series Infectious Diseases of Poverty
issn 2049-9957
publishDate 2019-08-01
description Abstract Population attributable fraction (PAF) refers to the proportion of all cases with a particular outcome in a population that could be prevented by eliminating a specific exposure. The authors of a recent paper evaluated the prevalence and estimated the PAFs for risk factors of TB among elderly people in China [Inf Dis Poverty. 2019;8:7]. Confounding is inevitable in observational studies and Levin’s formula is of limited use in practice for unbiasedly estimating PAF. In a complex survey design, an unbiased estimation of the PAF can be calculated using a sample-weighted version of the Miettinen formula or a sample weighed parametric g-formula. With respect to causal interpretation of PAF in public health setting, computation of PAF is logical and practical when the exposure is amenable to intervention.
topic Population attributable fraction
Confounding
Sample-weighted parametric g-formula
url http://link.springer.com/article/10.1186/s40249-019-0587-8
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