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A Markov Model for Analyzing Polytomous Outcome Data

Pakistan Journal of Statistics and Operation Research

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Title A Markov Model for Analyzing Polytomous Outcome Data
Creator Islam, M Ataharul; Department of Statistics and OR
King Saud University
PO Box 2455, Riyadh 11451
Saudi Arabia
Chowdhury, Rafiqul I.; Department of Epidemiology and Biostatistics
University of Western Ontario
Singh, Karan P.
Subject Statistics
Markov Models; Covariate Dependence; Logistic Regression; Multiple States; Higher Order; Emotional Health.

Description 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.
Publisher College of Statistical and Actuarial Sciences
Date 2012-07-01
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source Pakistan Journal of Statistics and Operation Research; Vol 8. No. 3, 2012; 593-603
Language eng