Multivariate Generalized Poisson Distribution for Interference on Selected Non-Communicable Diseases in Lagos State, Nigeria

dc.contributor.author	Adewara, J.A.
dc.contributor.author	Mbata, U.A
dc.date.accessioned	2019-08-27T17:29:12Z
dc.date.available	2019-08-27T17:29:12Z
dc.date.issued	2012
dc.description.abstract	Multivariate Generalized Poisson Distribution (MGPD) models are applied to make inferences regarding non-communicable diseases, diabetes, hypertension, stroke and ulcer in Lagos State, Nigeria. The generalized Poisson distribution is employed due to its usefulness in modeling count data in the presence of either over- or under- dispersion. Results show that the correlation between ulcer and stroke is not significant. Other pairwise comparisons of diseases are significant, thus implying that a patient who suffers from diabetes or stroke has a high propensity to also be hypertensive	en_US
dc.identifier.citation	Ademola, A. J., & Ahamefula, M. U. (2012). Multivariate Generalized Poisson Distribution for Interference on Selected Non-Communicable Diseases in Lagos State, Nigeria. Journal of Modern Applied Statistical Methods, 11(2), 23.	en_US
dc.identifier.uri	https://ir.unilag.edu.ng/handle/123456789/4794
dc.language.iso	en	en_US
dc.publisher	Journal of Modern Applied Statistical Methods	en_US
dc.subject	Multivariate generalized Poisson distribution,	en_US
dc.subject	non-communicable disease	en_US
dc.subject	correlation	en_US
dc.subject	pairwise comparison	en_US
dc.title	Multivariate Generalized Poisson Distribution for Interference on Selected Non-Communicable Diseases in Lagos State, Nigeria	en_US
dc.type	Article	en_US

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