8 citations · 8 across the 3 of their papers we have counts for
5 papers
High dimensional precision medicine from patient-derived xenografts
Naim U. Rashid, Daniel J. Luckett, Jingxiang Chen +8
The complexity of human cancer often results in significant heterogeneity in response to treatment. Precision medicine offers potential to improve patient outcomes by leveraging th…
Estimating Individualized Treatment Regimes from Crossover Designs
Crystal T. Nguyen, Daniel J. Luckett, Anna R. Kahkoska +4
The field of precision medicine aims to tailor treatment based on patient-specific factors in a reproducible way. To this end, estimating an optimal individualized treatment regime…
Receiver Operating Characteristic Curves and Confidence Bands for Support Vector Machines
Daniel J. Luckett, Eric B. Laber, Samer S. El-Kamary +5
Many problems that appear in biomedical decision making, such as diagnosing disease and predicting response to treatment, can be expressed as binary classification problems. The co…
Estimation and Optimization of Composite Outcomes
Daniel J. Luckett, Eric B. Laber, Michael R. Kosorok
There is tremendous interest in precision medicine as a means to improve patient outcomes by tailoring treatment to individual characteristics. An individualized treatment rule for…
Estimating Dynamic Treatment Regimes in Mobile Health Using V-learning
Daniel J. Luckett, Eric B. Laber, Anna R. Kahkoska +3
The vision for precision medicine is to use individual patient characteristics to inform a personalized treatment plan that leads to the best healthcare possible for each patient.…