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 Pubmed



Khosravi A¹ ; Mansournia MA² Show Affiliations
Source: Infectious Diseases of Poverty Published:2019

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. © 2019 The Author(s).