2024
Hidden yet quantifiable: A lower bound for confounding strength using randomized trials
AISTATS 2024poster
In the era of fast-paced precision medicine, observational studies play a major role in properly evaluating new treatments in clinical practice. Yet, unobserved confounding can significantly compromise causal conclusions drawn from non-randomized data. We propose a novel strategy that leverages rand…