TY  - JOUR
A1  - Cai, Liming
A1  - Crimmins, Eileen
A1  - Saito, Yasuhiko
A1  - Hayward, Mark D.
A1  - Lubitz, James
A1  - Hagedorn, Aaron
T1  - Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program
Y1  - 2010/01/26
JF  - Demographic Research
JO  - Demographic Research
SN  - 1435-9871
SP  - 129
EP  - 158
DO  - 10.4054/DemRes.2010.22.6
VL  - 22
IS  - 6
UR  - https://www.demographic-research.org/volumes/vol22/6/
L1  - https://www.demographic-research.org/volumes/vol22/6/22-6.pdf
L2  - https://www.demographic-research.org/volumes/vol22/6/22-6.pdf
N2  - The multistate life table (MSLT) model is an important demographic method to document life cycle processes. In this study, 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 microsimulation and the bootstrap method to estimate the sampling variability. 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. 

ER  -