title: Estimation of multi-state life table functions and their variability from complex survey data using the SPACE Program.
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.
authors.affiliation: Office of Analysis and Epidemiology, National Center for Health Statistics. 3311 Toledo Road, room 6330, Hyattsville, MD 20782;  lcai@cdc.gov ; tel: 301-458-4133.
authors.forename: Liming
authors.initials: L
authors.lastname: Cai
authors.forename: Mark D
authors.initials: MD
authors.lastname: Hayward
authors.forename: Yasuhiko
authors.initials: Y
authors.lastname: Saito
authors.forename: James
authors.initials: J
authors.lastname: Lubitz
authors.forename: Aaron
authors.initials: A
authors.lastname: Hagedorn
authors.forename: Eileen
authors.initials: E
authors.lastname: Crimmins
references.citation: Demography. 2007 Aug;44(3):479-95
references.pmid: 17913007
references.citation: N Engl J Med. 2003 Sep 11;349(11):1048-55
references.pmid: 12968089
references.citation: J Am Stat Assoc. 1979;74(368):761-76
references.pmid: 12310718
references.citation: Popul Stud (Camb). 2000 Jan;54(1):29-41
references.pmid: 28489526
references.citation: J Gerontol A Biol Sci Med Sci. 2005 Aug;60(8):1013-6
references.pmid: 16127105
references.citation: J Gerontol B Psychol Sci Soc Sci. 1996 May;51(3):S111-20
references.pmid: 8620358
references.citation: Stat Med. 2008 Nov 20;27(26):5509-24
references.pmid: 18712777
references.citation: Am J Epidemiol. 2005 Mar 15;161(6):575-84
references.pmid: 15746474
references.citation: Health Care Financ Rev. 2006 Summer;27(4):71-93
references.pmid: 17290659
references.citation: JAMA. 2004 Apr 7;291(13):1596-602
references.pmid: 15069047
references.citation: Demography. 2009 May;46(2):371-86
references.pmid: 21305398
references.citation: J Gerontol. 1988 Nov;43(6):S194-9
references.pmid: 3183317
references.citation: Demography. 1994 May;31(2):297-319
references.pmid: 7926190
references.citation: Health Aff (Millwood). 2005;24 Suppl 2:W5R5-17
references.pmid: 16186147
references.citation: Health Serv Res. 2008 Jun;43(3):849-68
references.pmid: 18454771
references.citation: Demography. 1990 Aug;27(3):337-56
references.pmid: 2397817
references.citation: Demography. 1994 Feb;31(1):159-75
references.pmid: 8005340
references.citation: J Women Aging. 2002;14(1-2):9-26
references.pmid: 12537277
references.citation: J Gerontol A Biol Sci Med Sci. 1999 Jul;54(7):M377-83
references.pmid: 10462171
references.citation: Natl Vital Stat Rep. 2002 Dec 19;51(3):1-38
references.pmid: 12583542
references.citation: Arch Intern Med. 2005 Jan 10;165(1):106-12
references.pmid: 15642885
references.citation: J Rural Health. 2007 Spring;23(2):124-32
references.pmid: 17397368