Generalized Linear Models

4.0 credits

Generalized linear models; computational techniques for model fitting; logistic and conditional logistic regression; Poisson and negative binominal regression; log-linear models; models for nominal and ordinal categorical data; quasi-likelihood functions; model checking; nonlinear regression models. Prerequisites: BST 411 and BST 426