A comparison between some methods of analysis count data by using R-packages

The Poisson regression model is a simple count data model that combines regression models in which the response variable is in the form of counts rather than fractional numbers in generalized linear models (GLMs) . Three models (Poisson regression, quasi-Poisson regression, and negative binomial reg...

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Bibliographic Details
Main Authors: Murad, Noor Sabah, Abidi, Fadhil Abdul Abbas
Format: Conference Proceeding
Language:English
Subjects:
Packages
Poisson density functions
Regression models
Statistical models
Online Access:Get full text
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Summary:The Poisson regression model is a simple count data model that combines regression models in which the response variable is in the form of counts rather than fractional numbers in generalized linear models (GLMs) . Three models (Poisson regression, quasi-Poisson regression, and negative binomial regression) were compared in r packages and applied to a sample of COVID-19 data in this study. The Poisson regression model was shown to be the best and most efficient of the other models.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0135996