2 papers
cs.LG2026
A Causal Framework for Mitigating Data Shifts in Healthcare
Kurt Butler, Stephanie Riley, Damian Machlanski +13
Developing predictive models that perform reliably across diverse patient populations and heterogeneous environments is a core aim of medical research. However, generalization is o…
stat.ME2025
Treatment effect extrapolation in the presence of unmeasured confounding
Stephanie Riley, Ricardo Silva, Matthew Sperrin
While randomised controlled trials (RCTs) are the gold standard for estimating causal treatment effects, their limited sample sizes and restrictive criteria make it difficult to ex…