Please use this identifier to cite or link to this item:
|Title:||Applications of the bootstrap in ROC analysis||Authors:||Li, J.||Keywords:||Additive model
Von Mises expansion
|Issue Date:||2012||Citation:||Li, J. (2012). Applications of the bootstrap in ROC analysis. Communications in Statistics: Simulation and Computation 41 (6) : 865-877. ScholarBank@NUS Repository. https://doi.org/10.1080/03610918.2012.625333||Abstract:||The problem of estimating standard errors for diagnostic accuracy measures might be challenging for many complicated models. We can address such a problem by using the Bootstrap methods to blunt its technical edge with resampled empirical distributions. We consider two cases where bootstrap methods can successfully improve our knowledge of the sampling variability of the diagnostic accuracy estimators. The first application is to make inference for the area under the ROC curve resulted from a functional logistic regression model which is a sophisticated modelling device to describe the relationship between a dichotomous response and multiple covariates. We consider using this regression method to model the predictive effects of multiple independent variables on the occurrence of a disease. The accuracy measures, such as the area under the ROC curve (AUC) are developed from the functional regression. Asymptotical results for the empirical estimators are provided to facilitate inferences. The second application is to test the difference of two weighted areas under the ROC curve (WAUC) from a paired two sample study. The correlation between the two WAUC complicates the asymptotic distribution of the test statistic. We then employ the bootstrap methods to gain satisfactory inference results. Simulations and examples are supplied in this article to confirm the merits of the bootstrap methods.||Source Title:||Communications in Statistics: Simulation and Computation||URI:||http://scholarbank.nus.edu.sg/handle/10635/105007||ISSN:||03610918||DOI:||10.1080/03610918.2012.625333|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jul 28, 2021
WEB OF SCIENCETM
checked on Jul 28, 2021
checked on Jul 13, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.