Outcome Based Matching
Applications
2017-12-15 v1
Abstract
We propose a method to reduce variance in treatment effect estimates in the setting of high-dimensional data. In particular, we introduce an approach for learning a metric to be used in matching treatment and control groups. The metric reduces variance in treatment effect estimates by weighting covariates related to the outcome and filtering out unrelated covariates.
Cite
@article{arxiv.1712.05063,
title = {Outcome Based Matching},
author = {Jonathan Bates and Alexander Cloninger},
journal= {arXiv preprint arXiv:1712.05063},
year = {2017}
}