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Modified zero inflated poisson regression analysis and its application to public health data

Wan Ahmad, Wan Muhamad Amir and Zafakali, Nur Syabiha and Aleng, Nor Azlida and Mohd Ibrahim, Mohamad Shafiq and Hasan, Ruhaya and Mokhtar, Kasypi (2019) Modified zero inflated poisson regression analysis and its application to public health data. Advances and Applications in Statistics, 55 (1). pp. 1-18. ISSN 0972-3617

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Abstract

This paper focuses on the programming of zero inflated Poisson regression (ZIPR) with combination of fuzzy regression method through SAS algorithm. This alternative method can be used as a tool of data analysis in various branches of science that include biostatistics, biometry. The method comprises of bootstrapping and nonlinear minimization programming through fuzzy linear regression modeling based on the dependent outcome of zero-inflated Poisson regression with several independent variables.

Item Type: Article (Journal)
Additional Information: 8915/75453
Uncontrolled Keywords: zero inflated poisson regression analysis, public health data
Subjects: Q Science > QA Mathematics > QA276 Mathematical Statistics
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Dentistry
Kulliyyah of Dentistry > Paediatric Dentistry, Orthodontics & Dental Public Health
Depositing User: Dr Mohamad Shafiq Mohd Ibrahim
Date Deposited: 14 Nov 2019 11:01
Last Modified: 14 Nov 2019 11:01
URI: http://irep.iium.edu.my/id/eprint/75453

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