1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ME2026
Nonparametric inference for sublevel-set probabilities of conditional average treatment effect functions
Anders Munch, Thomas A. Gerds
The average treatment effect can obscure important heterogeneity when individuals respond differently to a treatment. While the conditional average treatment effect (CATE) function…
stat.ME2024
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…
math.ST2024★ 1 cited
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…