Work

Comment

Year: 2016

Type: article

Abstract: This commentary 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.

Source: Journal of the American Statistical Association

DOI: 10.1080/01621459.2016.1243479

Author: Min Qian

Institution: Columbia University

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: National Institute of Mental Health, National Institute on Drug Abuse, National Institute of General Medical Sciences

Awards: Building Multistage Treatment Regimens for Depression after Acute Coronary SyndromeSyndrome, Novel Methods for Intensive Longitudinal Data in SMART Studies of Drug Abuse and HIV, Novel Methods for Evaluation and Implementation of Behavioral Intervention Technologies for Depression, Post-selection inference and trajectory analysis