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Found 5 papers, 0 papers with code
High dimensional precision medicine from patient-derived xenografts
PDX data are characterized by correlated outcomes, a high-dimensional feature space, and a large number of treatments.
Estimating Individualized Treatment Regimes from Crossover Designs
The field of precision medicine aims to tailor treatment based on patient-specific factors in a reproducible way.
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
We propose a method for constructing confidence bands for the SVM ROC curve and provide the theoretical justification for the SVM ROC curve by showing that the risk function of the estimated decision rule is uniformly consistent across the weight parameter.
Estimation and Optimization of Composite Outcomes
Estimated composite outcomes are subsequently used to construct an estimator of an individualized treatment rule which maximizes the mean of patient-specific composite outcomes.
Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning
However, existing methods for estimating optimal dynamic treatment regimes are designed for a small number of fixed decision points occurring on a coarse time-scale.
