Department of Epidemiology, School of Public Health, Shahroud University of Medical Sciences, Shahroud, Iran.
Department of Epidemiology and Biostatistics, Tehran University of Medical Sciences, Tehran, Iran.
Environ Health. 2019 Jun 13;18(1):54. doi: 10.1186/s12940-019-0490-6.
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.
所有观察性研究都容易受到混杂因素的影响，因此莱文公式在实际中无法用于无偏估计 PAF。在公共卫生环境中对 PAF 的因果解释方面，无偏估计 PAF 需要一些假设，而这些假设在实践中往往被忽略。我们建议使用米滕纳 PAF 公式，并仔细考虑研究设计和分析中可能存在的偏倚。
