| A regression approach to ROC surface, with applications to Alzheimer’s disease |
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| 作者姓名： | FINE Jason P |
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| 作者单位： | Department of Biostatistics and Department of Statistics,University of North Carolina,Chapel Hill,NC 27599,USA |
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| 基金项目： | support provided by the National Alzheimer’s Coordinating Center(NACC);supported by National University of Singapore Academic Research Funding(Grant No.R-155-000-109-112);a CBRG grant from the National Medical Research Council in Singapore,NACC(Grant No.U01AG16976);the National Institute of Health(Grant No.R01EB005829);National Natural Science Foundation of China(Grant No.30728019) |
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| 摘 要： | We consider the estimation of three-dimensional ROC surfaces for continuous tests given covariates.Three way ROC analysis is important in our motivating example where patients with Alzheimer’s disease are usually classified into three categories and should receive different category-specific medical treatment.There has been no discussion on how covariates affect the three way ROC analysis.We propose a regression framework induced from the relationship between test results and covariates.We consider several practical cases and the corresponding inference procedures.Simulations are conducted to validate our methodology.The application on the motivating example illustrates clearly the age and sex effects on the accuracy for Mini-Mental State Examination of Alzheimer’s disease.
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| 关 键 词： | receiver operating characteristic surface volume under ROC surface rank regression transformation model maximum likelihood estimation bootstrap |
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