Pages that link to "Item:Q4521421"
From MaRDI portal
The following pages link to Two transformation models for estimating an ROC curve derived from continuous data (Q4521421):
Displaying 31 items.
- Partial marginal likelihood estimation for general transformation models (Q391907) (← 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)
- A semiparametric hypothesis testing procedure for the ROC curve area under a density ratio model (Q959279) (← links)
- Bayesian ROC curve estimation under binormality using a rank likelihood (Q1011547) (← links)
- Joint inference about sensitivity and specificity at the optimal cut-off point associated with Youden index (Q1623569) (← links)
- Parametric methods for confidence interval estimation of overlap coefficients (Q1658495) (← links)
- Modelling receiver operating characteristic curves using Gaussian mixtures (Q1660204) (← links)
- Informativeness of diagnostic marker values and the impact of data grouping (Q1662040) (← 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)
- Biomarker assessment in ROC curve analysis using the length of the curve as an index of diagnostic accuracy: the binormal model framework (Q2234733) (← links)
- Minimum distance estimation of the binormal ROC curve (Q2338239) (← links)
- Maximum likelihood estimator of AUC for a bi-exponentiated Weibull model (Q2510951) (← links)
- Semiparametric transformation models for multiple continuous biomarkers in ROC analysis (Q3465339) (← links)
- Semiparametric and parametric transformation models for comparing diagnostic markers with paired design (Q3591743) (← links)
- Statistical Inference Based on Pooled Data: A Moment-Based Estimating Equation Approach (Q3592664) (← links)
- Construction of confidence regions in the ROC space after the estimation of the optimal Youden index‐based cut‐off point (Q4979252) (← links)
- Bayesian ROC curve estimation under binormality using an ordinal category likelihood (Q5154102) (← links)
- Confidence interval estimation of the difference between two sensitivities to the early disease stage (Q5416419) (← links)
- A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies (Q5850962) (← links)
- Construction of joint confidence spaces for the optimal true class fraction triplet in the ROC space using alternative biomarker cutoffs (Q6068639) (← links)
- Implications of imbalanced datasets for empirical ROC-AUC estimation in binary classification tasks (Q6552941) (← links)
- A new accuracy metric under three classes when subclasses are involved and its confidence interval estimation (Q6560517) (← links)
- Joint inference about the AUC and Youden index for paired biomarkers (Q6622215) (← links)
- A correlated Bayesian rank likelihood approach to multiple ROC curves for endometriosis (Q6625953) (← links)
- A new semiparametric transformation approach to disease diagnosis with multiple biomarkers (Q6625955) (← links)
- Confidence interval estimation for sensitivity and difference between two sensitivities at a given specificity under tree ordering (Q6628147) (← links)
- Estimation and construction of confidence intervals for biomarker cutoff-points under the shortest Euclidean distance from the ROC surface to the perfection corner (Q6628488) (← links)
- Quantifying how diagnostic test accuracy depends on threshold in a meta-analysis (Q6628738) (← links)
- Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index (Q6630331) (← links)
