“Backwards” stepwise regression begins with the model including all of the potential independent variables, and successively throws out those which cost the least in terms of reduction of the ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

A simple regression model, or equation, consists of four terms. On the left side is the dependent variable. It represents the phenomenon the model seeks to "explain." On the right side are a ...

Hedonic regression is the use of a regression model to estimate the influence that various factors have on the price of a good, or sometimes the demand for a good. In a hedonic regression model ...

The first regression model for relapse can be produced by typing ... in our case, we included the terms associated with the covariates Phase and Age. Then, cov2 provides a matrix with two columns ...

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 basic machine learning ... it will be better to explain these basic statistical terms here because I will decide if my model is sufficient or not by looking at those numbers.

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...

This course will introduce linear, generalized linear and time-to-event regression models that are commonly used in epidemiologic research, community needs assessment and public health program/policy ...