Pages that link to "Item:Q5313528"

The following pages link to Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test (Q5313528):

Displaying 32 items.

• Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data (Q454718) (← links)
• Improving an estimator of Hsieh and Turnbull for the binormal ROC curve (Q665039) (← links)
• Multivariate binormal mixtures for semi-parametric inference on ROC curves (Q743762) (← links)
• Nonparametric estimation of the ROC curve based on smoothed empirical distribution functions (Q746342) (← links)
• Minimum-norm estimation for a bi-exponential survival model (Q962023) (← links)
• Bayesian ROC curve estimation under binormality using a rank likelihood (Q1011547) (← links)
• Comparing correlated ROC curves for continuous diagnostic tests under density ratio models (Q1023948) (← links)
• Modelling receiver operating characteristic curves using Gaussian mixtures (Q1660204) (← links)
• Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve (Q1663274) (← links)
• Estimation of the ROC curve from the Lehmann family (Q2008109) (← links)
• Model-free posterior inference on the area under the receiver operating characteristic curve (Q2189107) (← links)
• Minimum distance estimation of the binormal ROC curve (Q2338239) (← links)
• Estimation of reliability from a bivariate log-normal data (Q2862403) (← links)
• Powerful nonparametric statistics to compare <i>k</i> independent ROC curves (Q3019483) (← links)
• Profile-Likelihood Inference for Highly Accurate Diagnostic Tests (Q3079049) (← links)
• Testing the equality of diagnostic effectiveness of one measure with respect to <i>k</i> different features (Q3183896) (← links)
• A direct method to evaluate the time‐dependent predictive accuracy for biomarkers (Q3459941) (← links)
• Semiparametric transformation models for multiple continuous biomarkers in ROC analysis (Q3465339) (← links)
• Theory &amp; Methods: Semi‐parametric estimation of ROC curves based on binomial regression modelling (Q4540765) (← links)
• REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN (Q5036041) (← links)
• Minimum‐Norm Estimation for Binormal Receiver Operating Characteristic (ROC) Curves (Q5123445) (← links)
• An extension of parametric ROC analysis for calculating diagnostic accuracy when underlying distributions are mixture of Gaussian (Q5124887) (← links)
• Confidence intervals and bands for the binormal ROC curve revisited (Q5126926) (← links)
• Bayesian ROC curve estimation under binormality using an ordinal category likelihood (Q5154102) (← links)
• (Q5506407) (← links)
• A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies (Q5850962) (← links)
• Covariate adjustment in continuous biomarker assessment (Q6055895) (← links)
• A framework for covariate-specific ROC curve estimation, with application to biometric recognition (Q6138602) (← links)
• Comparison of the binormal and Lehman receiver operating characteristic curves (Q6552980) (← links)
• Confidence Bands for ROC Curves With Serially Dependent Data (Q6623168) (← links)
• A new semiparametric transformation approach to disease diagnosis with multiple biomarkers (Q6625955) (← links)
• Statistical inference for decision curve analysis, with applications to cataract diagnosis (Q6627564) (← links)