Work

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

Year: 2008

Type: article

Abstract: 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 SMP 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.

Source: Statistics in Medicine

DOI: 10.1002/sim.3382

Authors: Liming Cai, Nathaniel Schenker, James Lubitz, Paula Diehr, Alice Arnold, Linda P. Fried

Institutions: Centers for Disease Control and Prevention, National Center for Health Statistics, University of Washington, Columbia University

Language: English

Topic: Probability and Statistical Research

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Heart, Lung, and Blood Institute