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3 papers
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…
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…
Estimating conditional hazard functions and densities with the highly-adaptive lasso
Anders Munch, Thomas A. Gerds, Mark J. van der Laan +1
We consider estimation of conditional hazard functions and densities over the class of multivariate càdlàg functions with uniformly bounded sectional variation norm when data are e…