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, ...

Many 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 treated with ...

This study evaluated predictive models integrating Computed Tomography(CT) and ultrasound(US) to assess neoadjuvant therapy response in locally advanced gastric cancer (LAGC). A prospective ...

Maternal anemia during lactation constitutes a significant public health concern in Ethiopia, presenting considerable health risks to both mothers and their infants. Despite ongoing efforts ...

Learn how nonlinear and linear regression models differ, predict variables, and their applications in data analysis for ...