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Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data

The purpose of this paper is to describe the mixed variables (ordered categorical and dichotomous) in Bayesian structural equation models. Markov chain Monte Carlo simulation (MCMC) via Gibbs sampling method is applied for estimation the parameters. Statistical analyses, which include parameters est...

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Main Authors: Thanoon, T. Y., Adnan, R., Md. Jedi, M. A.
Format: Article
Published: Taylor & Francis Group, LLC 2017
Subjects:
QA Mathematics
Online Access:http://eprints.utm.my/id/eprint/80877/
https://www.tandfonline.com/doi/abs/10.1080/09720510.2016.1238111
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spelling my.utm.808772019-07-24T00:08:27Z http://eprints.utm.my/id/eprint/80877/ Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data Thanoon, T. Y. Adnan, R. Md. Jedi, M. A. QA Mathematics The purpose of this paper is to describe the mixed variables (ordered categorical and dichotomous) in Bayesian structural equation models. Markov chain Monte Carlo simulation (MCMC) via Gibbs sampling method is applied for estimation the parameters. Statistical analyses, which include parameters estimation, standard error, higest posterior density and Devience information creterion for testing the prposed models, are discussed. Hidden continuous normal distribution with censoring is used to handle the problem of mixed variables (ordered categorical and dichotomous). Comparison between Bayesian linear and non-linear SEMs are discussed. The proposed models are illustrated by a case study for breast cancer patient’s which obtained from the hospital. Analyses are done by using WinBUGS program. The results showed that the results of non-linear Bayesian SEM is better than the results of linear Bayesian SEM. Taylor & Francis Group, LLC 2017 Article PeerReviewed Thanoon, T. Y. and Adnan, R. and Md. Jedi, M. A. (2017) Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data. Journal of Statistics and Management Systems, 20 (1). pp. 113-131. ISSN 0972-0510 https://www.tandfonline.com/doi/abs/10.1080/09720510.2016.1238111
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA Mathematics
spellingShingle QA Mathematics
Thanoon, T. Y.
Adnan, R.
Md. Jedi, M. A.
Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data
description The purpose of this paper is to describe the mixed variables (ordered categorical and dichotomous) in Bayesian structural equation models. Markov chain Monte Carlo simulation (MCMC) via Gibbs sampling method is applied for estimation the parameters. Statistical analyses, which include parameters estimation, standard error, higest posterior density and Devience information creterion for testing the prposed models, are discussed. Hidden continuous normal distribution with censoring is used to handle the problem of mixed variables (ordered categorical and dichotomous). Comparison between Bayesian linear and non-linear SEMs are discussed. The proposed models are illustrated by a case study for breast cancer patient’s which obtained from the hospital. Analyses are done by using WinBUGS program. The results showed that the results of non-linear Bayesian SEM is better than the results of linear Bayesian SEM.
format Article
author Thanoon, T. Y.
Adnan, R.
Md. Jedi, M. A.
author_facet Thanoon, T. Y.
Adnan, R.
Md. Jedi, M. A.
author_sort Thanoon, T. Y.
title Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data
title_short Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data
title_full Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data
title_fullStr Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data
title_full_unstemmed Model comparison of Bayesian structural equation models with mixed ordered categorical and dichotomous data
title_sort model comparison of bayesian structural equation models with mixed ordered categorical and dichotomous data
publisher Taylor & Francis Group, LLC
publishDate 2017
url http://eprints.utm.my/id/eprint/80877/
https://www.tandfonline.com/doi/abs/10.1080/09720510.2016.1238111
_version_ 1643658543351463936
score 13.244404

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