Estimation of Multi-state Life Table Functions and Their Variability from Complex Survey Data Using the SPACE Program

Overview

Journal Demogr Res

Specialty Public Health

Date 2010 May 14

PMID 20463842

Citations 56

Authors

Liming Cai

Mark D Hayward

Yasuhiko Saito

James Lubitz

Aaron Hagedorn

Eileen Crimmins

Affiliations

Soon will be listed here.

Abstract

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.

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