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作 者:曾祥嫚[1] Zeng Xiangman(Ningbo No.2 Hospital,Ningbo 315010,China)
出 处:《中国医院统计》2024年第1期47-49,55,共4页Chinese Journal of Hospital Statistics
基 金:宁波市第二医院华美一般研究基金(2023HMKY39)。
摘 要:目的阐明累积比数logit模型和偏比例优势模型在有序分类资料中的应用。方法以肺癌手术住院费用的相关因素分析为例,采用累积比数logit模型和偏比例优势模型对肺癌手术住院费用与各相关因素关系进行拟合,通过模型的对数似然值(-2ln L)判断2种模型拟合的优度。结果在自变量不全满足比例优势假定条件时(性别χ^(2)=15.888,P<0.001;手术术式χ^(2)=35.874,P<0.001),2种分析方法拟合结果不同。在不同分割点,住院费用与手术术式关系的差别较大。偏比例优势模型(-2ln L=5797.112)优于累积比数logit模型(-2ln L=5852.420),差异具有统计学意义(P<0.05)。结论有序分类资料的分析,首先应进行比例优势假定条件验证,如果自变量均满足该条件,选择累积比数logit模型,否则采用偏比例优势模型拟合。Objective To illuminate the application of cumulative odds logit model and partial proportional odds model in ordinal categorical data.Methods The cumulative odds logit model and partial proportional odds model were used to fit the relationship between hospital costs and relative factors of lung cancer surgery.The goodness of fit of the two models was compared by the log likelihood value(-2ln L)of the models.Results When the independent variables did not fully satisfy the proportional odds assumption(gender χ^(2)=15.888,P<0.001;surgical procedure χ^(2)=35.874,P<0.001),the fitting results of the two methods were different.At different segmentation points,there was a significant difference in the relationship between hospitalization costs and surgical procedures.The partial proportional odds model(-2ln L=5797.112)was better than the cumulative odds logit model(-2ln L=5852.420).The difference of the log likelihood values was statistically significant(P<0.05).Conclusion In order to analyze the ordinal categorical data,the proportional odds assumption should be verified firstly.If all the independent variables satisfy the condition,the cumulative odds logit model is selected,otherwise the partial proportional odds model is used to study the data.
关 键 词:有序分类资料 累积比数logit模型 偏比例优势模型 比例优势假定条件
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