Understanding the multinomial–Poisson transformation
Paulo Guimarães
Medical University of South Carolina
|
Abstract. There is a known connection between the multinomial and the Poisson
likelihoods. This, in turn, means that a Poisson regression may be
transformed into a logit model and vice versa. In this paper, I show the
data transformations required to implement this transformation. Several
examples are used as illustrations.
View all articles by this author:
Paulo Guimarães
View all articles with these keywords:
Poisson regression, logit, conditional logit
Download citation: BibTeX RIS
Download citation and abstract: BibTeX RIS
|