Search Results for author: Daniel J. Luckett

Found 5 papers, 0 papers with code

Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines

no code implementations17 Jul 2018 Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary, Cheng Fan, Ravi Jhaveri, Charles M. Perou, Fatma M. Shebl, Michael R. Kosorok

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.

Binary Classification Decision Making +1

Estimation and Optimization of Composite Outcomes

no code implementations28 Nov 2017 Daniel J. Luckett, Eric B. Laber, Michael R. Kosorok

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

no code implementations10 Nov 2016 Daniel J. Luckett, Eric B. Laber, Anna R. Kahkoska, David M. Maahs, Elizabeth Mayer-Davis, Michael R. Kosorok

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.

Decision Making

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