Rashwan, Naser A.; Kamel, Maie M. Using generalized Poisson log linear regression models in analyzing two-way contingency tables. (English) Zbl 1235.62091 Appl. Math. Sci., Ruse 5, No. 5-8, 213-222 (2011). Summary: The generalized Poisson log linear regression model is one of the most important models using in categorical (qualitative) data. We make a comparison between the estimators and the actual data to evaluate the log linear model. MSC: 62J12 Generalized linear models (logistic models) 62F10 Point estimation 62H17 Contingency tables 62P10 Applications of statistics to biology and medical sciences; meta analysis Keywords:Poisson regression (PR); generalized Poisson regression (GPR); categorical data; contingency tables; over-dispersion; hepatocellular carcinomas (HCC); maximum likelihood PDFBibTeX XMLCite \textit{N. A. Rashwan} and \textit{M. M. Kamel}, Appl. Math. Sci., Ruse 5, No. 5--8, 213--222 (2011; Zbl 1235.62091) Full Text: Link