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Deciphering death: a commentary on Gompertz (1825) 'On the nature of the function expressive of the law of human mortality, and on a new mode of determining the value of life contingencies'.解读死亡:对戈姆珀茨(1825年)《论表达人类死亡率规律的函数的性质,以及确定生命意外事件价值的一种新模式》的评论
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Estimating mean lifetime.估计平均寿命。
Proc Natl Acad Sci U S A. 2003 Nov 11;100(23):13127-33. doi: 10.1073/pnas.2035060100. Epub 2003 Sep 23.
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Life table methods for quantitative impact assessments in chronic mortality.慢性死亡率定量影响评估中的生命表方法
J Epidemiol Community Health. 2003 Mar;57(3):200-6. doi: 10.1136/jech.57.3.200.
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Accuracy of point predictions in survival analysis.生存分析中点预测的准确性。
Stat Med. 2001 Oct 30;20(20):3083-96. doi: 10.1002/sim.913.
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Life expectancy as a summary of mortality in a population: statistical considerations and suitability for use by health authorities.预期寿命作为人群死亡率的一项汇总指标:统计考量及卫生当局的适用情况
J Epidemiol Community Health. 2001 Jan;55(1):38-43. doi: 10.1136/jech.55.1.38.
6
Inequalities in health. Analytic approaches based on life expectancy and suitable for small area comparisons.健康方面的不平等。基于预期寿命且适用于小区域比较的分析方法。
J Epidemiol Community Health. 2000 May;54(5):375-80. doi: 10.1136/jech.54.5.375.
7
The use of the Gompertz function to relate changes in life expectancy to the standardized mortality ratio.使用冈珀茨函数将预期寿命的变化与标准化死亡率相关联。
Int J Epidemiol. 1998 Oct;27(5):885-9. doi: 10.1093/ije/27.5.885.
8
What happened to life expectancy in Spain in the 1980s?20世纪80年代西班牙的预期寿命发生了什么变化?
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9
Comprehensive life table of computer-assisted predictive mathematical relationship between age and life expectancy, survival probability or death rate in US adults.
Comput Methods Programs Biomed. 1997 Jan;52(1):67-73. doi: 10.1016/s0169-2607(96)01778-6.
10
Reinterpreting mortality statistics: some uses of Gompertzian analysis in epidemiological research.重新解读死亡率统计数据:Gompertzian分析在流行病学研究中的一些应用。
J Clin Epidemiol. 1993 Sep;46(9):1063-9. doi: 10.1016/0895-4356(93)90174-y.

使用连续方法确定寿命密度函数。

Determining the lifetime density function using a continuous approach.

作者信息

Román Rubén, Comas Mercè, Hoffmeister Lorena, Castells Xavier

机构信息

Evaluation and Clinical Epidemiology Department, Institut Municipal d'Assistència Sanitària (IMAS), Passeig Marítim 25-29, 08003, Barcelona, Spain.

出版信息

J Epidemiol Community Health. 2007 Oct;61(10):923-5. doi: 10.1136/jech.2006.052639.

DOI:10.1136/jech.2006.052639
PMID:17873232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2652977/
Abstract

OBJECTIVE

To apply a continuous hazard function approach to calculate the lifetime density function (LDF) at any age, and to compare the life expectancies derived from the LDF with those obtained with standard life table (SLT) methods.

METHODS

Age-specific mortality rates were modeled through a continuous hazard function. To construct the cumulative hazard function, appropriate integration limits were considered as continuous random variables. The LDF at any age was defined on the basis of the elemental relationships with the cumulative hazard function. Life expectancies were calculated for a particular set of mortality data using the SLT approach and the expectancy of the LDF defined. APPLICATIONS AND COMPARISONS: The proposed approach was applied using mortality data from the 2001 census of Catalonia (Spain). A Gompertz function was used to model the observed age-specific mortality rates, which fitted the observed data closely. The LDF and the life expectancy, median and standard deviation of the LDF were derived using mathematical software. All differences, in percentages, between the life expectancies obtained from the two methods were 1.1% or less.

CONCLUSIONS

The LDF gives a wider interpretation of life duration, by extending a deterministic value like life expectancy to a fully informative measure like the LDF.

摘要

目的

应用连续风险函数方法计算任何年龄的寿命密度函数(LDF),并将从LDF得出的预期寿命与用标准生命表(SLT)方法获得的预期寿命进行比较。

方法

通过连续风险函数对特定年龄的死亡率进行建模。为构建累积风险函数,将适当的积分限视为连续随机变量。任何年龄的LDF是根据与累积风险函数的基本关系定义的。使用SLT方法和定义的LDF预期值,针对一组特定的死亡率数据计算预期寿命。应用与比较:使用来自西班牙加泰罗尼亚2001年人口普查的死亡率数据应用所提出的方法。使用Gompertz函数对观察到的特定年龄死亡率进行建模,该函数与观察数据拟合紧密。使用数学软件得出LDF以及LDF的预期寿命、中位数和标准差。两种方法得出的预期寿命之间的所有差异(以百分比计)均为1.1%或更低。

结论

LDF通过将诸如预期寿命这样的确定性值扩展为像LDF这样的完全信息性度量,对寿命持续时间给出了更广泛的解释。