Artificial intelligence surrogates for treatment effect estimation with before-and-after data
arXiv:2609.27180v1 Announce Type: new Abstract: Estimating the causal effects of medical treatments is difficult when clinically important outcomes are costly to measure or require long follow-up. Short-term or inexpensive surrogate outcomes offer a potential alternative, but surrogate biomarkers m…
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- 2026-09-24 04:00 · arXiv stat.ML
Artificial intelligence surrogates for treatment effect estimation with before-and-after data