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The predictive accuracy of a survival model can be summarized using extensions of the proportion of variation explained by the model, or R^2, commonly used for continuous response models, or using extensions of sensitivity and specificity which are commonly used for binary response models.In...
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estimators in the prediction of a univariate outcome by minimizing an empirical risk, and it uses cross-validation to select fine …
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separately in the statistical literature, including multivariate outcome prediction and density estimation based on either … in genomic data analysis: the prediction of biological and clinical outcomes (possibly censored) using microarray gene …
Persistent link: https://www.econbiz.de/10005459073
-validated epsilon-net estimation methodology that covers a broad class of estimation problems, including multivariate outcome prediction …
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Providing information about the risk of disease and clinical factors that may increase or decrease a patient's risk of disease is standard medical practice. Although case-control studies provide evidence of strong associations between diseases and risk factors, clinicians need to be able to...
Persistent link: https://www.econbiz.de/10005751449
with a new class of loss-based cross-validated algorithms in prediction of univariate and multivariate outcomes …
Persistent link: https://www.econbiz.de/10005751450