Objective Explore the role of proportional odds model in ROC analysis.
目的探讨比例优势模型在ROC分析中的应用前景。
Conclusion The partial proportional odds model is more appropriate when proportional odds assumption was violated.
结论当有自变量不符合比例优势假定条件时，偏比例优势模型是更为合理的选择。
Methods the proportional odds model and partial proportional odds model were used for the data from a cohort study in Shaanxi Province, and the results were compared.
方法利用在陕西某地开展的一项前瞻性研究数据，分别采用比例优势模型和偏比例优势模型进行分析，对二者的结果进行比较。
Methods the proportional odds model and partial proportional odds model were used for the data from a cohort study in Shaanxi Province, and the results were compared.
方法利用在陕西某地开展的一项前瞻性研究数据，分别采用比例优势模型和偏比例优势模型进行分析，对二者的结果进行比较。
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