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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Julián Esparza & Kacey Ernst & Maricela Montalvo & Ricardo Vazquez, "undated". "Quasipoisson regression models in Stata and their application in field studies with data from entomological counts," Mexican Stata Conference 2023 09, Stata Users Group.
    • Handle: RePEc:boc:mexi23:09
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    File URL: http://repec.org/mex2023/Mexico23_Vazquez.pptx
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