119 citations · 603 across the 42 of their papers we have counts for
7 papers · 1 filter
Augmented Outcome-weighted Learning for Optimal Treatment Regimes
Xin Zhou, Michael R. Kosorok
Precision medicine is of considerable interest in clinical, academic and regulatory parties. The key to precision medicine is the optimal treatment regime. Recently, Zhou et al. (2…
Causal nearest neighbor rules for optimal treatment regimes
Xin Zhou, Michael R. Kosorok
The estimation of optimal treatment regimes is of considerable interest to precision medicine. In this work, we propose a causal -nearest neighbor method to estimate the optimal…
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…
Tree based weighted learning for estimating individualized treatment rules with censored data
Yifan Cui, Ruoqing Zhu, Michael Kosorok
Estimating individualized treatment rules is a central task for personalized medicine. [zhao2012estimating] and [zhang2012robust] proposed outcome weighted learning to estimate ind…
Consistency of survival tree and forest models: splitting bias and correction
Yifan Cui, Ruoqing Zhu, Mai Zhou +1
Random survival forest and survival trees are popular models in statistics and machine learning. However, there is a lack of general understanding regarding consistency, splitting…
Double Sparsity Kernel Learning with Automatic Variable Selection and Data Extraction
Jingxiang Chen, Chong Zhang, Michael R. Kosorok +1
Learning with Reproducing Kernel Hilbert Spaces (RKHS) has been widely used in many scientific disciplines. Because a RKHS can be very flexible, it is common to impose a regulariza…