Pages that link to "Item:Q4419403"
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The following pages link to Overestimation of the receiver operating characteristic curve for logistic regression (Q4419403):
Displaying 16 items.
- ROC curves for regression (Q898227) (← links)
- On the use of min-max combination of biomarkers to maximize the partial area under the ROC curve (Q1733157) (← links)
- Evaluating discrete choice prediction models when the evaluation data is corrupted: analytic results and bias corrections for the area under the ROC (Q1741248) (← links)
- Optimal classification scores based on multivariate marker transformations (Q2068896) (← links)
- Unbiased estimation of biomarker panel performance when combining training and testing data in a group sequential design (Q2827204) (← links)
- Optimal Combinations of Diagnostic Tests Based on AUC (Q3013986) (← links)
- Time-Dependent Predictive Accuracy in the Presence of Competing Risks (Q3076028) (← links)
- A class of logistic-type discriminant functions (Q4547574) (← links)
- Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve (Q5473228) (← links)
- Scaling of True and Apparent ROC AUC with Number of Observations and Number of Variables (Q5697378) (← links)
- Estimation of the ROC curve and the area under it with complex survey data (Q6548895) (← links)
- Reducing the overfitting in the gROC curve estimation (Q6567436) (← links)
- On weak convergence of quantile-based empirical likelihood process for ROC curves (Q6581690) (← links)
- Developing biomarker combinations in multicenter studies via direct maximization and penalization (Q6627627) (← links)
- Hybrid design evaluating new biomarkers when there is an existing screening test (Q6627744) (← links)
- Marginal, conditional, and pseudo likelihood ratio approaches for biomarker combination to predict a binary disease outcome (Q6628395) (← links)
