Journal
STATISTICS IN MEDICINE
Volume 27, Issue 26, Pages 5509-5524Publisher
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.3382
Keywords
multi-state life table; semi-Markov process model; functional disability; healthy aging; event history analysis; left censoring
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Funding
- NHLBI NIH HHS [U01 HL080295-03, U01 HL080295-04, U01 HL080295-02, U01 HL080295, U01 HL080295-01] Funding Source: Medline
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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.
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