In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Course TopicsLinear models, generalized linear models, and nonlinear models are examples of parametric regression models because we know the function that describes the relationship between the ...

Joseph G. Ibrahim, Stuart R. Lipsitz, Ming-Hui Chen, Missing Covariates in Generalized Linear Models When the Missing Data Mechanism Is Non-Ignorable, Journal of the Royal Statistical Society. Series ...

With modern technology development, functional responses are observed frequently in fields such as biology, meteorology, and ergonomics, among others. Consider statistical inferences for functional ...