Comment

J Am Stat Assoc. 2016;111(516):1538-1541. doi: 10.1080/01621459.2016.1243479. Epub 2017 Jan 4.

Abstract

This comment deals with issues related to the article by Chen, Zeng, and Kosorok. We present several potential modifications of the outcome weighted learning approach. Those modifications are based on truncated l2 loss. One advantage of l2 loss is that it is differentiable everywhere, which makes it more stable and computationally more tractable.

Keywords: Double robustness; Epanechnikov kernel; Personalized treatment.

Publication types

  • Comment