Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program.
Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program.
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DOI：
10.4054/demres.2010.22.6
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发表时间：
2010-01-26
影响因子：
2.1
通讯作者：
Crimmins E
中科院分区：
文献类型：
--
作者：
Cai L;Hayward MD;Saito Y;Lubitz J;Hagedorn A;Crimmins E
多态生命表(MSLT)模型是记录生命周期过程的重要人口统计学方法。在这篇文章中，我们提出了SPACE(复杂事件随机总体分析)程序来估计MSLT函数及其抽样变异性。与其他程序相比，它有几个优点，包括使用微观模拟和Bootstrap方法估计MSLT函数的方差。与确定性方法相比，模拟使研究人员能够分析更广泛的统计数组，并且在调查MSLT函数的分布方面可能特别有利。Bootstrap方法考虑了样本设计，以校正方差估计中的潜在偏差。
The multistate life table (MSLT) model is an important demographic method to document life cycle processes. In this paper, we present the SPACE (Stochastic Population Analysis for Complex Events) program to estimate MSLT functions and their sampling variability. It has several advantages over other programs, including the use of micro-simulation and the bootstrap method to estimate the variance of MSLT functions. Simulation enables researchers to analyze a broader array of statistics than the deterministic approach, and may be especially advantageous in investigating distributions of MSLT functions. The bootstrap method takes sample design into account to correct the potential bias in variance estimates.