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A novel approach to determine two optimal cut-points of a continuous predictor with a U-shaped relationship to hazard ratio in survival data: simulation and application

机译:一种确定连续预测变量的两个最佳切点的新方法该变量与生存数据中的危险比呈U形关系:模拟和应用

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摘要

BackgroundIn clinical and epidemiological researches, continuous predictors are often discretized into categorical variables for classification of patients. When the relationship between a continuous predictor and log relative hazards is U-shaped in survival data, there is a lack of a satisfying solution to find optimal cut-points to discretize the continuous predictor. In this study, we propose a novel approach named optimal equal-HR method to discretize a continuous variable that has a U-shaped relationship with log relative hazards in survival data.
机译:背景技术在临床和流行病学研究中,经常将连续预测变量离散化为用于对患者分类的分类变量。当连续预测变量与对数相对危险之间的关系在生存数据中呈U形时,缺少令人满意的解决方案来找到最佳切点以离散化连续预测变量。在这项研究中,我们提出了一种称为最佳等HR方法的新方法,以离散化与生存数据中的对数相对危险性具有U形关系的连续变量。

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