Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding
Methodology
2024-06-13 v1 Machine Learning
Abstract
We extend our previous work on sensitivity analysis for the risk ratio and difference contrasts under unmeasured confounding to any contrast. We prove that the bounds produced are still arbitrarily sharp, i.e. practically attainable. We illustrate the usability of the bounds with real data.
Keywords
Cite
@article{arxiv.2406.07940,
title = {Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding},
author = {Jose M. Peña},
journal= {arXiv preprint arXiv:2406.07940},
year = {2024}
}