Kernel estimators of the ROC curve are better than empirical.
From MaRDI portal
Publication:1962199
DOI10.1016/S0167-7152(99)00012-7zbMath1156.62323MaRDI QIDQ1962199
Publication date: 30 January 2000
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
Related Items (32)
REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN ⋮ Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers ⋮ A new method of kernel-smoothing estimation of the ROC curve ⋮ Non-parametric smoothed estimation of multivariate cumulative distribution and survival functions, and receiver operating characteristic curves ⋮ ROC Curves in Non-Parametric Location-Scale Regression Models ⋮ Smooth estimation of ROC curve in the presence of auxiliary information ⋮ Nonparametric estimation of the ROC curve for length-biased and right-censored data ⋮ Construction of joint confidence spaces for the optimal true class fraction triplet in the ROC space using alternative biomarker cutoffs ⋮ A comparative study of methods for testing the equality of two or more ROC curves ⋮ Kernel estimators of the ROC curve with censored data ⋮ Smoothed empirical likelihood for ROC curves with censored data ⋮ Local linear smoothing of receiver operating characteristic (ROC) curves ⋮ Interval Estimation for Operating Characteristic Of Continuous Biomarkers With Controlled Sensitivity or Specificity ⋮ Pointwise exact bootstrap distributions of ROC curves ⋮ Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data ⋮ Improved methods for bandwidth selection when estimating ROC curves. ⋮ Relative density estimation for left truncated and right censored data ⋮ Rank-based kernel estimation of the area under the ROC curve ⋮ Smoothed jackknife empirical likelihood inference for ROC curves with missing data ⋮ Optimal adaptive estimation of the relative density ⋮ Nonparametric estimation of the threshold at an operating point on the ROC curve ⋮ Confidence bands for ROC curves ⋮ Smoothed jackknife empirical likelihood method for ROC curve ⋮ Compare diagnostic tests using transformation-invariant smoothed ROC curves ⋮ Unnamed Item ⋮ A note on estimating cumulative distribution functions by the use of convolution power kernels ⋮ Nonparametric estimation of the ROC curve based on smoothed empirical distribution functions ⋮ Empirical likelihood confidence regions for comparison distributions and ROC curves ⋮ Nonparametric estimation of the ROC curve based on the Bernstein polynomial ⋮ Minimum distance estimation of the binormal ROC curve ⋮ Smoothed estimator of quantile residual lifetime for right censored data ⋮ Estimation of a convex ROC curve.
Cites Work
- Unnamed Item
- Asymptotic normality of the kernel quantile estimator
- The area above the ordinal dominance graph and the area below the receiver operating characteristic graph
- Nonparametric and semiparametric estimation of the receiver operating characteristic curve
- The mean-square error of Bahadur's order-statistic approximation
- Relative efficiency and deficiency of kernel type estimators of smooth distribution functions
- Some New Estimates for Distribution Functions
- Deficiency
This page was built for publication: Kernel estimators of the ROC curve are better than empirical.
