Categorical Data Analysis and Generalized Linear Models.

Catalog description

Semester course; 4 lecture hours. 4 credits. Prerequisites: BIOS 514 , 554 and 572. Introduction to the theory and methods of analysis of categorical data. Topics include exact and asymptotic analysis of contingency tables; measures of association and agreement; theory and applications of generalized linear models, maximum likelihood estimation and related numerical methods; linear models with different link functions and distributions; model fitting; and diagnostics.