title: [Introduction to regression models].
abstract: Regression models are widely used. They are viewed by clinicians as a passport for a publication in major journals. The expressions: multivariate, logistic regression and Cox model are synonymous with complexity and appear both magical and seductive. Altogether, most clinicians do not read the results of regression models with a critical eye. Our aim is to describe the most common regression models in a unifying framework, and to explain how to interpret each model. We hope that investigators will then be able to discuss the models with the statisticians.
authors.affiliation: Institut Gustave-Roussy, 94805 Villejuif. hill@igr.fr
authors.forename: C
authors.initials: C
authors.lastname: Hill
mesh_terms: D016015:Logistic Models; D015999:Multivariate Analysis; D016016:Proportional Hazards Models