|Title||A regression approach to ROC surface, with applications to Alzheimer's disease.|
|Publication Type||Journal Article|
|Year of Publication||2012|
|Authors||Li, Jialiang, Andrew Xiaohua Zhou, and Jason P. Fine|
|Journal||Sci China Math|
|Date Published||2012 Aug|
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.
|Alternate Journal||Sci China Math|
|Original Publication||A regression approach to ROC surface, with applications to Alzheimer's disease.|
|PubMed Central ID||PMC3897001|
|Grant List||R01 EB005829 / EB / NIBIB NIH HHS / United States |
R01 CA094893 / CA / NCI NIH HHS / United States
U01 AG016976 / AG / NIA NIH HHS / United States
P01 CA142538 / CA / NCI NIH HHS / United States
P30 AI050410 / AI / NIAID NIH HHS / United States
A regression approach to ROC surface, with applications to Alzheimer's disease.