Chapter FOURTEEN. Modeling Poisson Outcomes—The Analysis of Rates
Published Online: 11 AUG 2003
DOI: 10.1002/0471467979.ch14
Copyright © 2003 John Wiley & Sons, Inc.
Book Title
Quantitative Methods in Population Health: Extensions of Ordinary Regression
Additional Information
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
Publication History
- Published Online: 11 AUG 2003
- Published Print: 15 AUG 2003
Book Series:
Book Series Editors:
- Walter A. Shewhart,
- Samuel S. Wilks
ISBN Information
Print ISBN: 9780471455059
Online ISBN: 9780471467977
- Summary
- Chapter
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.