基于贝叶斯估计的诊断试验ROC曲线回归模型被引量：9

ROC Regression Model based on Bayesian Estimation in Diagnostic Test

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摘要目的阐明基于贝叶斯估计的ROC曲线回归模型。方法通过实例对比分析,介绍WinBUGS软件ROC曲线回归模型参数估计与应用。结果基于贝叶斯估计的ROC曲线回归模型不仅可考虑(平衡)协变量对诊断试验结果准确性评价的影响,而且可计算不同协变量取值条件下的ROC曲线下面积;不同先验分布的选取在一定范围内模型参数估计结果较稳定,可作为临床诊断试验结果分析的依据。结论基于贝叶斯估计的ROC曲线回归模型,可有效地解决受协变量影响的临床诊断试验准确度评价问题。 Objective To introduce the theory of Bayesian estimation for receiver operating characteristic curve regression model.Methods To estimate related parameter of regression model using the software WinBUGS,then introduce its application in practical problems.Results The impact of covariates on diagnostic test assessment could be detected by adopting the methods of Bayesian estimation of ROC curve regression analysis.Moreover,the areas under the ROC curve with different values of covariates could be calculated.Results of the method were more stable to prior distribution in a certain range.The method was also treated as the proof of statistical analysis for clinical diagnostic test.Conclusion Based on the bayesian estimation of regression model,the ROC curves can be effectively used to solve the test accuracy evaluation problem of the clinical diagnosis trial impacted by the covariates.

作者尉洁宋娇娇赵晋芳萨建刘桂芬

机构地区山西医科大学卫生统计学教研室山西省潞城市第四中学

出处《中国卫生统计》 CSCD 北大核心 2010年第2期152-154,共3页 Chinese Journal of Health Statistics

基金山西省自然科学基金(2009011005-2)

关键词 ROC曲线贝叶斯方法协变量诊断试验 ROC curve Bayesian methods Covariate Diagnostic test

分类号 R195 [医药卫生—卫生统计学]

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