ROC Curve Based on Generalized Linear Mixed Effects Models in Repeated Diagnostic Tests
- VernacularTitle:重复测量诊断试验的RO C曲线广义线性混合效应模型
- Author:
Chuntao MA
;
Wei XIONG
;
Maozai TIAN
- Keywords:
ROC curve;
Mixed effects;
Bayesian;
Repeated measurement;
Diagnostic tests
- From:
Chinese Journal of Health Statistics
2017;34(1):2-6
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the impact of covariates on diagnostic test and assess the correlation between re-peated measurement data,this paper explores innovative modeling techniques of ROC curve.Methods We introduce the new ROC curve method based on generalized linear mixed effects model and apply Bayesian techniques to parameters estimation with Winbugs Software.Further,areas under the ROC curve(AUC)with different values of covariates could be calculated in terms of assessment.Results Cases analysis results indicate the proposed method efficiently explores the repeated measurement data and provides parameters with practical significance,serving as a golden reference.Conclusion The ROC curve based on generalized linear mixed effects models can be effectively used to solve the test accuracy evaluation problem of the repeated diagnostic trials.
