Skip to main content
Book Chapter

Poisson Regression for Outcome Rates (50 Patients)

  • Cleophas T
  • Zwinderman A
Springer International Publishing, (2016), 121-125
DOI: 10.1007/978-3-319-20600-4_21
N/ACitations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Poisson regression is different from linear en logistic regression, because it uses a log transformed dependent variable. For rates, defined as numbers of events per person per time unit, Poisson regression is very sensitive and probably better than standard regression methods.

Cite

CITATION STYLE

APA

Cleophas, T. J., & Zwinderman, A. H. (2016). Poisson Regression for Outcome Rates (50 Patients). In SPSS for Starters and 2nd Levelers (pp. 121–125). Springer International Publishing. https://doi.org/10.1007/978-3-319-20600-4_21

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free