Large-P Variable Selection in Two-Stage Models
Applications
2020-03-25 v1
Abstract
Model selection in the large-P small-N scenario is discussed in the framework of two-stage models. Two specific models are considered, namely, two-stage least squares (TSLS) involving instrumental variables (IVs), and mediation models. In both cases, the number of putative variables (e.g. instruments or mediators) is large, but only a small subset should be included in the two-stage model. We use two variable selection methods which are designed for high-dimensional settings, and compare their performance in terms of their ability to find the true IVs or mediators. Our approach is demonstrated via simulations and case studies.
Cite
@article{arxiv.2003.10484,
title = {Large-P Variable Selection in Two-Stage Models},
author = {Haim Bar and Kangyan Liu},
journal= {arXiv preprint arXiv:2003.10484},
year = {2020}
}