Evaluation of a method for fitting a semi-Markov process model in the presence of left-censored spells using the Cardiovascular Health Study

被引：7

作者：

Cai, Liming ^{[1
]}

Schenker, Nathaniel ^{[1
]}

Lubitz, James ^{[1
]}

Diehr, Paula ^{[2
,3
]}

Arnold, Alice ^{[4
]}

Fried, Linda P. ^{[5
]}

机构：

[1] Ctr Dis Control & Prevent, Natl Ctr Hlth Stat, Hyattsville, MD 20782 USA

[2] Univ Washington, Dept Biostat, Seattle, WA 98195 USA

[3] Univ Washington, Dept Hlth Serv, Seattle, WA 98195 USA

[4] Univ Washington, Collaborat Hlth Studies Coordinating Ctr, Seattle, WA 98195 USA

[5] Columbia Univ, Mailman Sch Publ Hlth, New York, NY USA

来源：

STATISTICS IN MEDICINE | 2008年 / 27卷 / 26期

关键词：

multi-state life table; semi-Markov process model; functional disability; healthy aging; event history analysis; left censoring;

D O I：

10.1002/sim.3382

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We used a longitudinal data set covering 13 years from the Cardiovascular Health Study to evaluate the properties of a recently developed approach to deal with left censoring that fits a semi-Markov process (SMP) model by using an analog to the stochastic EM algorithm-the SMP-EM approach. It appears that the SMP-EM approach gives estimates of duration-dependent probabilities of health changes similar to those obtained by using SNIP models that have the advantage of actual duration data. SMP-EM estimates of duration-dependent transition probabilities also appear more accurate and less variable than multi-state life table estimates. Published in 2008 by John Wiley & Sons, Ltd.

引用

页码：5509 / 5524

页数：16

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