Quasipoisson regression models in Stata and their application in field studies with data from entomological counts

Julián Esparza, Kacey Ernst, Maricela Montalvo and Ricardo Vazquez
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Julián Esparza: Centro de Investigación en Alimentación y Desarrollo, CIAD
Kacey Ernst: Centro de Investigación en Alimentación y Desarrollo, CIAD
Maricela Montalvo: Centro de Investigación en Alimentación y Desarrollo, CIAD
Ricardo Vazquez: Centro de Investigación en Alimentación y Desarrollo, CIAD

Mexican Stata Conference 2023 from Stata Users Group

Abstract: Working with data from entomological counts and their use in a regression model involves deciding which model is best suited for analysis. There are generalized mixed linear models, which include the Poisson models and their variants. The use of the quasi-Poisson variant is extremely attractive when there is overdispersion in the distribution of the data because it allows generation of association models based on the Poisson distribution. This presentation presents the criteria and procedures for the choice and generation of a quasi-Poisson model in Stata, using as an example an association model with data from an entomoviral surveillance study.

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Persistent link: https://EconPapers.repec.org/RePEc:boc:mexi23:09

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