AI Medical Compendium Journal:
Journal of the Royal Statistical Society. Series B, Statistical methodology

Showing 1 to 3 of 3 articles

Prediction sets adaptive to unknown covariate shift.

Journal of the Royal Statistical Society. Series B, Statistical methodology
Predicting sets of outcomes-instead of unique outcomes-is a promising solution to uncertainty quantification in statistical learning. Despite a rich literature on constructing prediction sets with statistical guarantees, adapting to unknown covariate...

Selective inference for effect modification via the lasso.

Journal of the Royal Statistical Society. Series B, Statistical methodology
Effect modification occurs when the effect of the treatment on an outcome varies according to the level of other covariates and often has important implications in decision-making. When there are tens or hundreds of covariates, it becomes necessary t...

Making the cut: improved ranking and selection for large-scale inference.

Journal of the Royal Statistical Society. Series B, Statistical methodology
Identifying leading measurement units from a large collection is a common inference task in various domains of large-scale inference. Testing approaches, which measure evidence against a null hypothesis rather than effect magnitude, tend to overpopul...