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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...
Persistent link: https://www.econbiz.de/10005246089
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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 …
Persistent link: https://www.econbiz.de/10005246353
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 …
Persistent link: https://www.econbiz.de/10005459075
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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
We present a review of research studies that deal with personalization. We synthesize current knowledge about these areas, and identify issues that we envision will be of interest to researchers working in the management sciences. We take an interdisciplinary approach that spans the areas of...
Persistent link: https://www.econbiz.de/10005246232