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 ...

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 ...

Two statistics that are helpful in assessing the goodness of fit of a given generalized linear model are the scaled deviance and Pearson's chi-square statistic. For a fixed value of the dispersion ...

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link ... Students will sit a summer term closed-book exam. ... A.J. (2008). An ...

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 ...