ROC Estimation from Clustered Data with an Application to Liver Cancer Data

In this article, we propose a regression model to compare the performances of different diagnostic methods having clustered ordinal test outcomes. The proposed model treats ordinal test outcomes (an ordinal categorical variable) as grouped-survival time data and uses random effects to explain correl...

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Detalles Bibliográficos
Autores principales: Kim, Joungyoun, Yun, Sung-Cheol, Lim, Johan, Lee, Moo-Song, Son, Won, Park, DoHwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Libertas Academica 2016
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181834/
https://www.ncbi.nlm.nih.gov/pubmed/28050126
http://dx.doi.org/10.4137/CIN.S40299

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181834/
https://www.ncbi.nlm.nih.gov/pubmed/28050126
http://dx.doi.org/10.4137/CIN.S40299

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