Duration: 12h. 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 ...

What Is Linear Regression and How Does it Work? At the most basic level, linear regression relies on one variable—the independent variable—to predict the value of another variable: the ...

Course TopicsMany response variables are handled poorly by regression models when the errors are assumed to be normally distributed. For example, modeling the state damaged/not damaged of cells after ...

Generalized Estimating Equations Let Y ij, j = 1, ... ,n i, i = 1, ... ,K represent the j th measurement on the i th subject. There are n i measurements on subject i and total measurements. Correlated ...

First part [Inference, Classical- and Generalized Linear Regression] begins with methods of estimation and optimality, followed by an introduction to asymptotic theory. It proceeds with statistical ...

General Regression: The REG Procedure . The REG procedure is a general-purpose procedure for regression that handles multiple regression models provides nine model-selection methods allows interactive ...

California. Ground shaking. Generalized linear mixed models. Goodness-of-fit analyses. Census tracts. Fire hazards. Geographic information ... regression models are developed that can be used to ...