Pages that link to "Item:Q2564064"

The following pages link to Multiple-event forced-choice tasks in the theory of signal detectability (Q2564064):

Displaying 31 items.

• Ranking data with ordinal labels: optimality and pairwise aggregation (Q374178) (← links)
• The ROC manifold for classification systems (Q614093) (← links)
• Nonparametric relationships between single-interval and two-interval forced-choice tasks in the theory of signal detectability (Q701126) (← links)
• Nonparametric and semiparametric estimation of the three way receiver operating characteristic surface (Q730836) (← links)
• Analysis of proposed three-class classification decision rules in terms of the ideal observer decision rule (Q856648) (← links)
• Generalization of the theory of signal detectability to \(n\)-event \(m\)-dimensional forced-choice tasks. (Q1271086) (← links)
• Estimating confidence intervals for the difference in diagnostic accuracy with three ordinal diagnostic categories without a gold standard (Q1615158) (← links)
• Bayesian semiparametric ROC surface estimation under verification bias (Q1727893) (← links)
• Estimation of the volume under the ROC surface in presence of nonignorable verification bias (Q2176346) (← links)
• ROC representation for the discriminability of multi-classification markers (Q2417831) (← links)
• The three-class ideal observer for univariate normal data: decision variable and ROC surface properties (Q2438606) (← links)
• Double threshold receiver operating characteristic plot for three-modal continuous predictors (Q2667027) (← links)
• Combining multiple markers for multi-category classification: an ROC surface approach (Q2802750) (← links)
• Inverse probability weighting estimation of the volume under the ROC surface in the presence of verification bias (Q2833470) (← links)
• Discrimination ability of prediction models for ordinal outcomes: relationships between existing measures and a new measure (Q2919470) (← links)
• Hypervolume under ROC manifold for discrete biomarkers with ties (Q3390349) (← links)
• Generalization of the classical signal detection theory for the less‐equal‐more task (Q5120904) (← links)
• Comparing Performance of Multiclass Classification Systems with ROC Manifolds: When Volume and Correct Classification Fails (Q5252863) (← links)
• The TreeRank Tournament algorithm for multipartite ranking (Q5256280) (← links)
• ROC Graphs for Assessing the Ability of a Diagnostic Marker to Detect Three Disease Classes with an Umbrella Ordering (Q5459611) (← links)
• Multi-category diagnostic accuracy based on logistic regression (Q5880173) (← links)
• Comparison of three‐dimensional ROC surfaces for clustered and correlated markers, with a proteomics application (Q6063602) (← links)
• Bayesian and influence function‐based empirical likelihoods for inference of sensitivity to the early diseased stage in diagnostic tests (Q6141312) (← links)
• On diagnostic accuracy measure with cut-points criterion for ordinal disease classification based on concordance and discordance (Q6176276) (← links)
• Inference in receiver operating characteristic surface analysis via a trinormal model-based testing approach (Q6541525) (← links)
• Mean score equation and instrumental variables: another look at estimating the volume under the receiver operating characteristic surface when data are missing not at random (Q6541541) (← links)
• Nonparametric estimation of linear personalized diagnostics rules via efficient grid algorithm (Q6618419) (← links)
• Bayesian nonparametric estimation of ROC surface under verification bias (Q6624708) (← links)
• Computing the polytomous discrimination index (Q6628144) (← links)
• A network approach to compute hypervolume under receiver operating characteristic manifold for multi-class biomarkers (Q6629968) (← links)
• Evaluating joint confidence region of hypervolume under ROC manifold and generalized Youden index (Q6630331) (← links)