The author is with the Department of Epidemiology and Biostatistics, McGill University, Montreal, Canada.
Am J Public Health. 2022 Aug;112(8):1151-1160. doi: 10.2105/AJPH.2022.306805.
Life expectancy figures for countries and population segments are increasingly being reported to more decimal places and used as indicators of the strengths or failings of countries' health and social systems. Reports seldom quantify their intrinsic statistical imprecision or the age-specific numbers of deaths that determine them. The SE formulas available to compute imprecision are all model based. This note adds a more intuitive data-based SE method and extends the jackknife to the analysis of event rates more generally. It also describes the relationships between the magnitude of the SE and the numbers of person-years and deaths on which it is based. These relationships can help quantify the statistical noise present in published year-to-year differences in life expectancies, as well as in same-year differences between or within countries. Agencies and investigators are encouraged to use one of these SEs to report the imprecision of life expectancy numbers and to tailor the number of decimal places accordingly. (. 2022;112(8):1151-1160. https://doi.org/10.2105/AJPH.2022.306805).
越来越多的国家和人口群体的预期寿命数据被报道到小数点后更多位数,并被用作衡量国家卫生和社会系统强弱的指标。报告很少量化其内在的统计不准确性,也很少量化确定这些数据的特定年龄的死亡人数。可用于计算不准确性的 SE 公式都是基于模型的。本注释添加了一种更直观的数据驱动的 SE 方法,并将刀切法扩展到更一般的事件率分析中。它还描述了 SE 的大小与它所基于的人年数和死亡人数之间的关系。这些关系可以帮助量化已发表的预期寿命逐年差异以及国家之间或内部同年的差异中存在的统计噪声。鼓励各机构和研究人员使用其中一种 SE 来报告预期寿命数据的不准确性,并相应地调整小数点后的位数。(。2022;112(8):1151-1160。https://doi.org/10.2105/AJPH.2022.306805)。