Hill C
Institut Gustave-Roussy, 94805 Villejuif.
Bull Cancer. 2000 Jul;87(7-8):543-5.
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.
回归模型被广泛应用。临床医生将它们视为在主流期刊上发表文章的通行证。“多变量”“逻辑回归”和“Cox模型”这些表述 synonymous with complexity,既神奇又有吸引力。总体而言,大多数临床医生并不会以批判性的眼光去解读回归模型的结果。我们的目的是在一个统一的框架内描述最常见的回归模型,并解释如何解读每个模型。我们希望研究人员届时能够与统计学家讨论这些模型。 (注:原文中“synonymous with complexity”表述有误,应改为“synonymous with complexity and appear both magical and seductive”完整翻译为“与复杂性同义,既神奇又有吸引力” ) 正确译文:回归模型被广泛应用。临床医生将它们视为在主流期刊上发表文章的通行证。“多变量”“逻辑回归”和“Cox模型”这些表述与复杂性同义,既神奇又有吸引力。总体而言,大多数临床医生并不会以批判性的眼光去解读回归模型的结果。我们的目的是在一个统一的框架内描述最常见的回归模型,并解释如何解读每个模型。我们希望研究人员届时能够与统计学家讨论这些模型。