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Methods Inf Med 1992; 31(03): 215-218
DOI: 10.1055/s-0038-1634875
DOI: 10.1055/s-0038-1634875
Original Article
Maximum Likelihood Estimation and Testing of a Poisson Regression Model
Further Information
Publication History
Publication Date:
08 February 2018 (online)
Abstract:
A Poisson regression model is proposed for the analysis of incidence rates presented in a two-way table classified by two categorical variables. It is shown that the likelihood function is the same as that using Glasser’s exponential covariate model. An algorithm is given to solve the maximum likelihood estimates of the regression parameters. The model is evaluated via deviance and the method is illustrated with an example. Some extensions of the model are discussed.
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