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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.ME2024
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…
stat.ME2023★ 1 cited
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,…