Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

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, ...

Linear regression is a fundamental statistical method used to model and understand the relationship between different variables. At its heart, it aims to find the best-fitting straight line that ...

Many times researchers have the following scenario: measurements are taken on experimental units (i.e. subjects) at given time intervals. Most of the time subjects are set on different conditions ...

A variety of linear models are available to represent common active electronic devices such as transistors and vacuum tubes. Devices operating under large-signal conditions often require nonlinear ...