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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.
Catherine Hill (Thu,) studied this question.