FOURTEEN. Modeling Poisson Outcomes—The Analysis of Rates

  1. Mari Palta

Published Online: 11 AUG 2003

DOI: 10.1002/0471467979.ch14

Quantitative Methods in Population Health: Extensions of Ordinary Regression

Quantitative Methods in Population Health: Extensions of Ordinary Regression

How to Cite

Palta, M. (2003) Modeling Poisson Outcomes—The Analysis of Rates, in Quantitative Methods in Population Health: Extensions of Ordinary Regression, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471467979.ch14

Author Information

  1. Madison, Wisconsin, USA

Publication History

  1. Published Online: 11 AUG 2003
  2. Published Print: 15 AUG 2003

Book Series:

  1. Wiley Series in Probability and Statistics

Book Series Editors:

  1. Walter A. Shewhart and
  2. Samuel S. Wilks

ISBN Information

Print ISBN: 9780471455059

Online ISBN: 9780471467977

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Keywords:

  • rate;
  • risk;
  • Poisson;
  • PROC GENMOD;
  • off-set;
  • overdispersion;
  • deviance;
  • Pearson;
  • negative binomial;
  • empirical standard error

Summary

Definition and estimation of rate. Relationship between risk and rate. Regression analysis of Poisson outcome with PROC GENMOD. Definition and incorporation of off-set. Deviance function. Deviance and Pearson goodness of fit tests. Overdispersion and analytic techniques for dealing with it. Overdispersion parameters, negative binomial and empirical variance fit by PROC GENMOD. Examples analyzing cancer mortality in Wisconsin and hospitalizations of very low birth weight infants.