3 citations · 3 across the 2 of their papers we have counts for
3 papers
stat.ME2024
Longitudinal Causal Inference with Selective Eligibility
Zhichao Jiang, Eli Ben-Michael, D. James Greiner +2
Dropout poses a significant challenge to causal inference in longitudinal studies with time-varying treatments. However, existing research does not simultaneously address dropout a…
stat.AP2024
Causal Inference with Generative Artificial Intelligence: Application to Texts as Treatments
Kosuke Imai, Kentaro Nakamura
In this paper, we demonstrate how to enhance the validity of causal inference with unstructured high-dimensional treatments like texts, by leveraging the power of generative Artifi…
cs.AI2024★ 3 cited
Does AI help humans make better decisions? A statistical evaluation framework for experimental and observational studies
Eli Ben-Michael, D. James Greiner, Melody Huang +3
The use of Artificial Intelligence (AI), or more generally data-driven algorithms, has become ubiquitous in today's society. Yet, in many cases and especially when stakes are high,…