We propose a two-step estimating procedure for generalized additive partially linear models with clustered data using estimating equations. Our proposed method applies to the case that the number of ...

We introduce the functional generalized additive model (FGAM), a novel regression model for association studies between a scalar response and a functional predictor. We model the link-transformed mean ...

Our findings indicate that US adult baseline contact patterns show little variability over time after controlling for disease ...

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, ...

Partially linear additive models provide an attractive middle ground between the simplicity of generalized linear model and the flexibility of generalized additive model, and are important models ...