Perhaps the most fundamental type of R analysis is linear regression. Linear regression can be used for two closely related, but slightly different purposes. You can use linear regression to predict ...

The REG procedure can be used interactively. After you specify a model with the MODEL statement and submit the PROC REG statements, you can submit further statements without reinvoking the procedure.

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

Nothing is set in stone with a regression model, but if the data you feed it is very good, the prediction will be good, too. The data required ... Simple linear regression.

- Simple linear regression formula. As detailed above, the formula for simple linear regression is: or. for each data point - Simple linear regression model – worked example. Let’s say we are ...

We describe how to conduct a regression analysis for competing risks data. The use of an add-on package for the R statistical software is described, which allows for the estimation of the ...