Unlike the use of data transformation in ordinary least-squares regression, generalised linear models make inferences about the mean cost directly.

This paper describes a flexible nonparametric quantile regression model for longitudinal data. The basic elements of the model consist of a time-dependent power transformation on the longitudinal ...

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, ...

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.

Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

Regression is one of the most powerful statistical tools for finding relationships in data. Python makes it easy, and it's much more flexible than a spreadsheet.

Course Topics"Logistic and Poisson Regression," Wednesday, November 5: The fourth LISA mini course focuses on appropriate model building for categorical response data, specifically binary and count ...