Pages that link to "Item:Q3506487"
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The following pages link to Combining Multiple Biomarker Models in Logistic Regression (Q3506487):
Displaying 10 items.
- An improved model averaging scheme for logistic regression (Q1026355) (← links)
- Adaptively combined forecasting for discrete response time series (Q2442579) (← links)
- Selection and combination of biomarkers using ROC method for disease classification and prediction (Q3087593) (← links)
- Sparsity Oriented Importance Learning for High-Dimensional Linear Regression (Q3121571) (← links)
- The likelihood approach for the comparison of medical diagnostic system with multiple binary tests (Q3168251) (← links)
- Sampling uncertainty versus method uncertainty: A general framework with applications to omics biomarker selection (Q3299063) (← links)
- A resample-replace lasso procedure for combining high-dimensional markers with limit of detection (Q5056946) (← links)
- The use of components’ weights improves the diagnostic accuracy of a health-related index (Q5860776) (← links)
- Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve (Q5867473) (← links)
- Combining biomarker trajectories to improve diagnostic accuracy in prospective cohort studies with verification bias (Q6625613) (← links)
