1 citations · 1 across the 2 of their papers we have counts for
4 papers
Regression Trees and Ensembles for Cumulative Incidence Functions
Youngjoo Cho, Annette M. Molinaro, Chen Hu +1
The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past decade. The probl…
Regression Trees for Cumulative Incidence Functions
Youngjoo Cho, Annette M. Molinaro, Chen Hu +1
The use of cumulative incidence functions for characterizing the risk of one type of event in the presence of others has become increasingly popular over the past decade. The probl…
Robust Q-learning
Ashkan Ertefaie, James R. McKay, David Oslin +1
Q-learning is a regression-based approach that is widely used to formalize the development of an optimal dynamic treatment strategy. Finite dimensional working models are typically…
Genomics models in radiotherapy: from mechanistic to machine learning
John Kang, James T. Coates, Robert L. Strawderman +2
Machine learning provides a broad framework for addressing high-dimensional prediction problems in classification and regression. While machine learning is often applied for imagin…