ROC Curve Based on Generalized Linear Mixed Effects Models in Repeated Diagnostic Tests / 中国卫生统计
Chinese Journal of Health Statistics
;
(6): 2-6, 2017.
Artículo
en Chino
| WPRIM
| ID: wpr-510566
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.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Chinese Journal of Health Statistics
Año:
2017
Tipo del documento:
Artículo
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