A markov model for analyzing polytomous outcome data. | [Pakistan Journal of Statistics and Operation Research • 2012]

Author(s):

1. M. Ataharul-Islam: Department of Statistics and OR, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia

2. Rafiqul I Chowdhury: Department of Epidemiology and Biostatistics, University of Western Ontario, Canada

3. Karan P. Singh: Department of Medicine, Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama

Abstract:

This paper highlights the estimation and test procedures for multi-state Markov models with covariate dependences in higher orders. Logistic link functions are used to analyze the transition probabilities of three or more states of a Markov model emerging from a longitudinal study. For illustration purpose the models are used for analysis of panel data on Health and Retirement Study conducted in USA during 1992- 2002. The applications use self reported data on perceived emotional health at each round of the nationwide survey conducted among the elderly people. Useful and detailed results on the change in the perceived emotional health status among the elderly people are obtained. .

Page(s): 593-603

DOI: DOI not available

Published: Journal: Pakistan Journal of Statistics and Operation Research, Volume: 8, Issue: 3, Year: 2012

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