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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" 被引量:1
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作者 Ahmad Khosravi Mohammad Ali Mansournia 《Infectious Diseases of Poverty》 SCIE 2019年第4期82-84,共3页
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 t... 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. 展开更多
关键词 Population attributable fraction CONFOUNDING sample-weighted parametric g-formula
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