Pages that link to "Item:Q4667449"
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The following pages link to An Interpretation for the ROC Curve and Inference Using GLM Procedures (Q4667449):
Displaying 50 items.
- The Analysis of Placement Values for Evaluating Discriminatory Measures (Q129736) (← links)
- Logistic regression analysis with standardized markers (Q386753) (← links)
- Comparative study of ROC regression techniques -- applications for the computer-aided diagnostic system in breast cancer detection (Q452714) (← links)
- Comparison of semiparametric, parametric, and nonparametric ROC analysis for continuous diagnostic tests using a simulation study and acute coronary syndrome data (Q454718) (← links)
- Prediction of disease status: a regressive model approach for repeated measures (Q537436) (← links)
- Prediction-based classification for longitudinal biomarkers (Q614167) (← 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)
- Some mathematical properties of the ROC curve and their applications (Q891910) (← links)
- Bayesian nonparametric ROC regression modeling (Q908023) (← links)
- A semiparametric hypothesis testing procedure for the ROC curve area under a density ratio model (Q959279) (← links)
- Nonparametric estimation of the threshold at an operating point on the ROC curve (Q961940) (← links)
- Compare diagnostic tests using transformation-invariant smoothed ROC curves (Q989284) (← links)
- Bayesian ROC curve estimation under binormality using a rank likelihood (Q1011547) (← links)
- The ROC region of a regression tree (Q1012225) (← links)
- Modelling receiver operating characteristic curves using Gaussian mixtures (Q1660204) (← links)
- A weighted Wilcoxon estimate for the covariate-specific ROC curve (Q1701258) (← links)
- Nonparametric and semiparametric estimation of the receiver operating characteristic curve (Q1922393) (← links)
- An information theoretical algorithm for analyzing supersaturated designs for a binary response (Q1938876) (← links)
- A new flexible direct ROC regression model: application to the detection of cardiovascular risk factors by anthropometric measures (Q1942903) (← links)
- The simplicity of likelihood based inferences for \(P(X<Y)\) and for the ratio of means in the exponential model (Q1956338) (← links)
- The relationship between Gini terminology and the ROC curve (Q2175372) (← 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)
- Partial AUC maximization in a linear combination of dichotomizers (Q2276010) (← links)
- Smooth estimation of ROC curve in the presence of auxiliary information (Q2392649) (← links)
- Composite quantile regression for the receiver operating characteristic curve (Q2870255) (← links)
- Analyzing Supersaturated Designs by Means of an Information Based Criterion (Q2905714) (← links)
- ROC curves in non-parametric location-scale regression models (Q2911658) (← links)
- On ROC analysis with nonbinary reference standard (Q2912002) (← links)
- Profile-Likelihood Inference for Highly Accurate Diagnostic Tests (Q3079049) (← links)
- Partial AUC Estimation and Regression (Q3079159) (← links)
- A Regression Model for the AUC of Clustered Ordinal Test Results and Working Independent Optimal Weights (Q3168355) (← 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)
- A regression modelling framework for receiver operating characteristic curves in medical diagnostic testing (Q4364927) (← links)
- Overestimation of the receiver operating characteristic curve for logistic regression (Q4419403) (← links)
- Applications of the Bootstrap in ROC Analysis (Q4905887) (← links)
- REVIEW AND LIMITATIONS OF METHODS FOR CONSTRUCTING A RECEIVER OPERATING CHARACTERISTIC CURVE IN A CASE-CONTROL DESIGN (Q5036041) (← links)
- ROC analysis using covariate balancing propensity scores with an application to biochemical predictors for thyroid cancer (Q5082820) (← links)
- Detecting diagnostic accuracy of two biomarkers through a bivariate log-normal ROC curve (Q5130379) (← links)
- Bayesian ROC curve estimation under binormality using an ordinal category likelihood (Q5154102) (← links)
- Semiparametric estimation of treatment effect with density ratio model (Q5160259) (← links)
- Measures of prediction error for survival data with longitudinal covariates (Q5391158) (← links)
- Model Checking for ROC Regression Analysis (Q5427412) (← links)
- Model Checking for ROC Regression Analysis (Q5449940) (← links)
- Matching in Studies of Classification Accuracy: Implications for Analysis, Efficiency, and Assessment of Incremental Value (Q5450447) (← links)
- The Skill Plot: A Graphical Technique for Evaluating Continuous Diagnostic Tests (Q5450488) (← links)
- Distribution-free ROC analysis using binary regression techniques (Q5701156) (← links)
- A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies (Q5850962) (← links)
- Receiver operating characteristic curves and confidence bands for support vector machines (Q6055500) (← links)