Pages that link to "Item:Q3003009"
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The following pages link to ROC curve inference for best linear combination of two biomarkers subject to limits of detection (Q3003009):
Displaying 12 items.
- Assessing the diagnostic power of variables measured with a detection limit (Q333355) (← 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)
- Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design (Q2827204) (← links)
- Marker selection via maximizing the partial area under the ROC curve of linear risk scores (Q3303684) (← links)
- Pooling biospecimens and limits of detection: effects on ROC curve analysis (Q3434168) (← links)
- Semiparametric transformation models for multiple continuous biomarkers in ROC analysis (Q3465339) (← links)
- Maximum Likelihood Ratio Tests for Comparing the Discriminatory Ability of Biomarkers Subject to Limit of Detection (Q3530112) (← links)
- Bivariate Marker Measurements and ROC Analysis (Q4911946) (← links)
- A resample-replace lasso procedure for combining high-dimensional markers with limit of detection (Q5056946) (← links)
- Smooth ROC curves and surfaces for markers subject to a limit of detection using monotone natural cubic splines (Q5410270) (← links)
- Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve (Q5867473) (← links)
- Covariate-adjusted Bayesian estimation of the performance of a continuous diagnostic test with a limit of detection in the absence of a reference standard: a simulation study (Q6171858) (← links)
