2 papers
stat.ME2025
The joint survival super learner: A super learner for right-censored data
Anders Munch, Thomas A. Gerds
Risk prediction models are widely used to guide real-world decision-making in areas such as healthcare and economics, and they also play a key role in estimating nuisance parameter…
stat.ME2025
Cheap Subsampling bootstrap confidence intervals for fast and robust inference
Johan Sebastian Ohlendorff, Anders Munch, Kathrine Kold Sørensen +1
Bootstrapping is often applied to get confidence limits for semiparametric inference of a target parameter in the presence of nuisance parameters. Bootstrapping with replacement ca…