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 Printable version |
Introduction to regression models |
Bulletin du Cancer. Volume 87, Number 7-8, 543-5, Numéro double 7 - 8, Juillet -Août 2000, Synthèses
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 Résumé
Article gratuit
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Author(s) : Catherine Hill |
Summary : 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. |
Keywords : regression, Cox model, multivariate analysis, logistic regression. |
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