Showing stat.MEShow all
3 papers · 1 filter
stat.ME2026
Predicting fixed-sample test decisions enables anytime-valid inference
Chris Holmes, Stephen Walker
Statistical hypothesis tests typically use prespecified sample sizes, yet data often arrive sequentially. Interim analyses invalidate classical error guarantees, while existing seq…
stat.ME2025
Targeting relative risk heterogeneity with causal forests
Vik Shirvaikar, Andrea Storås, Xi Lin +1
The identification of heterogeneous treatment effects (HTE) across subgroups is of significant interest in clinical trial analysis. Several state-of-the-art HTE estimation methods,…
stat.ME2025
A general framework for probabilistic model uncertainty
Vik Shirvaikar, Stephen G. Walker, Chris Holmes
Existing approaches to model uncertainty typically either compare models using a quantitative model selection criterion or evaluate posterior model probabilities having set a prior…