An introduction to the theory and application of generalized linear models for the analysis of continuous, categorical, count and survival data. Topics include: normal regression, analysis of variance ...

GENMOD uses maximum likelihood estimation to fit generalized linear models. This family includes models for categorical data such as logistic, probit, and complementary log-log regression for binomial ...

linear regression, logistic regression for binary data, models for ordered and unordered (nominal) responses, log-linear models for count data and contingency tables, and models for survival (duration ...