Pages that link to "Item:Q4540765"
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The following pages link to Theory & Methods: Semi‐parametric estimation of ROC curves based on binomial regression modelling (Q4540765):
Displaying 18 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)
- Bayesian ROC curve estimation under binormality using a rank likelihood (Q1011547) (← links)
- ``Proper'' binormal ROC curves: Theory and maximum-likelihood estimation (Q1283550) (← links)
- A new flexible direct ROC regression model: application to the detection of cardiovascular risk factors by anthropometric measures (Q1942903) (← links)
- Estimation of the ROC curve from the Lehmann family (Q2008109) (← links)
- Comparing the estimates of ROC curves by modeling methods (Q2247818) (← links)
- Nonparametric estimation of the ROC curve based on the Bernstein polynomial (Q2317314) (← links)
- Semiparametric Inference for ROC Curves with Censoring (Q3608262) (← links)
- An Interpretation for the ROC Curve and Inference Using GLM Procedures (Q4667449) (← links)
- (Q4921679) (← links)
- Nonparametric estimation of the ROC curve for length-biased and right-censored data (Q5077979) (← links)
- Bayesian ROC curve estimation under binormality using an ordinal category likelihood (Q5154102) (← links)
- Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test (Q5313528) (← links)
- Estimating the accuracy of psychological scales using longitudinal data (Q5701179) (← links)
- Isomorphism examination based on the count vector (Q5894805) (← links)