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Application of Zero-Inflated Poisson Mixed Models in Prognostic Factors of Hepatitis C
Joint Authors
Akbarzadeh Baghban, Alireza
Pourhoseingholi, Asma
Zayeri, Farid
Jafari, Ali Akbar
Alavian, Seyed Moayed
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-5, 5 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-01
Country of Publication
Egypt
No. of Pages
5
Main Subjects
Abstract EN
In recent years, hepatitis C virus (HCV) infection represents a major public health problem.
Evaluation of risk factors is one of the solutions which help protect people from the infection.
This study aims to employ zero-inflated Poisson mixed models to evaluate prognostic factors of hepatitis C.
Methods.
The data was collected from a longitudinal study during 2005–2010.
First, mixed Poisson regression (PR) model was fitted to the data.
Then, a mixed zero-inflated Poisson model was fitted with compound Poisson random effects.
For evaluating the performance of the proposed mixed model, standard errors of estimators were compared.
Results.
The results obtained from mixed PR showed that genotype 3 and treatment protocol were statistically significant.
Results of zero-inflated Poisson mixed model showed that age, sex, genotypes 2 and 3, the treatment protocol, and having risk factors had significant effects on viral load of HCV patients.
Of these two models, the estimators of zero-inflated Poisson mixed model had the minimum standard errors.
Conclusions.
The results showed that a mixed zero-inflated Poisson model was the almost best fit.
The proposed model can capture serial dependence, additional overdispersion, and excess zeros in the longitudinal count data.
American Psychological Association (APA)
Akbarzadeh Baghban, Alireza& Pourhoseingholi, Asma& Zayeri, Farid& Jafari, Ali Akbar& Alavian, Seyed Moayed. 2013. Application of Zero-Inflated Poisson Mixed Models in Prognostic Factors of Hepatitis C. BioMed Research International،Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1004223
Modern Language Association (MLA)
Akbarzadeh Baghban, Alireza…[et al.]. Application of Zero-Inflated Poisson Mixed Models in Prognostic Factors of Hepatitis C. BioMed Research International No. 2013 (2013), pp.1-5.
https://search.emarefa.net/detail/BIM-1004223
American Medical Association (AMA)
Akbarzadeh Baghban, Alireza& Pourhoseingholi, Asma& Zayeri, Farid& Jafari, Ali Akbar& Alavian, Seyed Moayed. Application of Zero-Inflated Poisson Mixed Models in Prognostic Factors of Hepatitis C. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-5.
https://search.emarefa.net/detail/BIM-1004223
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1004223