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Fitting additive Poisson models.

Hendriek C Boshuizen1, Edith Jm Feskens

  • 1Department of Statistics and Mathematical Modelling, National Institute for Public Health and the Environment, PO box 1, 3720 BA Bilthoven, the Netherlands. hendriek.boshuizen@rivm.nl.

Epidemiologic Perspectives & Innovations : EP+I
|July 22, 2010
PubMed
Summary
This summary is machine-generated.

This study explains fitting additive Poisson models with common statistical software. The methods are demonstrated using SAS code, applicable to other packages for Poisson regression analysis.

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Area of Science:

  • Statistics
  • Computational Statistics

Background:

  • Additive Poisson models are valuable for analyzing count data.
  • Standard software packages offer tools for statistical modeling.

Purpose of the Study:

  • To provide a guide for fitting additive Poisson models.
  • To demonstrate the application using readily available statistical software.

Main Methods:

  • Fitting additive Poisson models.
  • Utilizing standard statistical software, exemplified by SAS code.

Main Results:

  • Successful implementation of additive Poisson models is shown.
  • The methodology is adaptable to various software platforms.

Conclusions:

  • Additive Poisson models can be effectively fitted using standard software.
  • The provided SAS code serves as a template for similar analyses.