On Defense of the Hazard Ratio
Statistics Theory
2023-10-20 v2 Statistics Theory
Abstract
In this short communication, we describe the recent debate on whether the hazard function should be used for causal inference in time-to-event studies and consider three different potential outcomes frameworks (by Rubin, Robins, and Pearl, respectively) as well as use the single-world intervention graph to show mathematically that the hazard function has causal interpretations under all three frameworks. In addition, we argue that the hazard ratio over time can provide a useful interpretation in practical settings.
Keywords
Cite
@article{arxiv.2307.11971,
title = {On Defense of the Hazard Ratio},
author = {Andrew Ying and Ronghui Xu},
journal= {arXiv preprint arXiv:2307.11971},
year = {2023}
}