Pages that link to "Item:Q4292112"

The following pages link to Linear Combinations of Multiple Diagnostic Markers (Q4292112):

Displaying 50 items.

• ROC curve and covariates: extending induced methodology to the non-parametric framework (Q70717) (← links)
• A modified area under the ROC curve and its application to marker selection and classification (Q397196) (← links)
• A boosting method for maximization of the area under the ROC curve (Q645529) (← links)
• The optimal classification using a linear discriminant for two point classes having known mean and covariance (Q700142) (← links)
• A non-parametric test for comparing conditional ROC curves (Q830462) (← links)
• Constructing the best linear combination of diagnostic markers via sequential sampling (Q842956) (← links)
• Confidence interval estimation of partial area under curve based on combined biomarkers (Q962276) (← links)
• The optimal linear combination of multiple predictors under the generalized linear models (Q1036606) (← links)
• Empirical likelihood ratio confidence interval estimation of best linear combinations of biomarkers (Q1623755) (← links)
• Two simple algorithms on linear combination of multiple biomarkers to maximize partial area under the ROC curve (Q1663274) (← links)
• On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve (Q1733157) (← links)
• Optimal classification scores based on multivariate marker transformations (Q2068896) (← links)
• Quantitative analysis of non-alcoholic fatty liver in rats via combining multiple ultrasound parameters (Q2160795) (← links)
• Visualizing the decision rules behind the ROC curves: understanding the classification process (Q2245666) (← links)
• The linear combinations of biomarkers which maximize the partial area under the ROC curves (Q2255847) (← links)
• Confidence interval estimation of the difference between paired AUCs based on combined biomarkers (Q2272130) (← links)
• Partial AUC maximization in a linear combination of dichotomizers (Q2276010) (← links)
• Asymptotic comparison of semi-supervised and supervised linear discriminant functions for heteroscedastic normal populations (Q2418361) (← links)
• Non-parametric smoothed estimation of multivariate cumulative distribution and survival functions, and receiver operating characteristic curves (Q2633968) (← links)
• Evaluating the improvement in diagnostic utility from adding new predictors (Q2786187) (← links)
• Combining multiple markers for multi-category classification: an ROC surface approach (Q2802750) (← links)
• ROC curve inference for best linear combination of two biomarkers subject to limits of detection (Q3003009) (← links)
• Optimal Combinations of Diagnostic Tests Based on AUC (Q3013986) (← links)
• Combining Several Screening Tests: Optimality of the Risk Score (Q3079005) (← links)
• Selection and combination of biomarkers using ROC method for disease classification and prediction (Q3087593) (← links)
• Approximating the risk score for disease diagnosis using MARS (Q3184493) (← links)
• Marker selection via maximizing the partial area under the ROC curve of linear risk scores (Q3303684) (← links)
• Generalized <i>t</i>‐statistic for two‐group classification (Q3459938) (← links)
• Semiparametric transformation models for multiple continuous biomarkers in ROC analysis (Q3465339) (← links)
• Combining Multiple Biomarker Models in Logistic Regression (Q3506487) (← links)
• CONFIDENCE INTERVALS FOR THE MAHALANOBIS DISTANCE (Q4787576) (← links)
• Simultaneous confidence bands for comparing diagnostic markers (Q4843902) (← links)
• A resample-replace lasso procedure for combining high-dimensional markers with limit of detection (Q5056946) (← links)
• Confidence interval estimation of the Youden index and corresponding cut-point for a combination of biomarkers under normality (Q5079252) (← links)
• Sample size and performance estimation for biomarker combinations based on pilot studies with small sample sizes (Q5093735) (← links)
• A step-by-step algorithm for combining diagnostic tests (Q5124811) (← links)
• Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve (Q5130379) (← links)
• A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies (Q5242443) (← links)
• Estimation of diagnostic accuracy of a combination of continuous biomarkers allowing for conditional dependence between the biomarkers and the imperfect reference‐test (Q5283327) (← links)
• (Q5419906) (← links)
• Note on distribution-free estimation of maximum linear separation of two multivariate distributions (Q5478897) (← links)
• The use of components’ weights improves the diagnostic accuracy of a health-related index (Q5860776) (← links)
• Combination of multiple functional markers to improve diagnostic accuracy (Q5861272) (← links)
• Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve (Q5867473) (← links)
• Understanding increments in model performance metrics (Q5963061) (← links)
• Nonparametric estimation of distributions and diagnostic accuracy based on group‐tested results with differential misclassification (Q6047752) (← links)
• Combining biomarkers by maximizing the true positive rate for a fixed false positive rate (Q6091667) (← links)
• Concentration and ROC curves, revisited (Q6133720) (← links)
• Conditional concordance-assisted learning under matched case-control design for combining biomarkers for population screening (Q6617495) (← links)
• Nonparametric estimation of linear personalized diagnostics rules via efficient grid algorithm (Q6618419) (← links)