:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Munch, Anders, Gerds, Thomas A.
Format:	Preprint
Published:	2026
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2605.15373
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The joint survival super learner: A super learner for right-censored data
by: Munch, Anders, et al.
Published: (2024)

Cheap Subsampling bootstrap confidence intervals for fast and robust inference
by: Ohlendorff, Johan Sebastian, et al.
Published: (2025)

Estimation and inference of average treatment effects under heterogeneous additive treatment effect model
by: Lu, Xin, et al.
Published: (2024)

Identification and estimation of the conditional average treatment effect with nonignorable missing covariates, treatment, and outcome
by: Zuo, Shuozhi, et al.
Published: (2026)

The joint survival super learner: A super learner for right‐censored data
by: Anders Munch, et al.
Published: (2026)

Randomization-based confidence sets for the local average treatment effect
by: Aronow, P. M., et al.
Published: (2024)

Estimation of treatment effects in presence of differential use of post-randomization concomitant medication with time-to-event outcomes
by: Rytgaard, Helene C. W., et al.
Published: (2026)

Estimation of conditional average treatment effects on distributed confidential data
by: Kawamata, Yuji, et al.
Published: (2024)

Improving efficiency in transporting average treatment effects
by: Rudolph, Kara E., et al.
Published: (2023)

Nonparametric causal inference for optogenetics: sequential excursion effects for dynamic regimes
by: Loewinger, Gabriel, et al.
Published: (2024)

Nonparametric inference for nonstationary spatial point processes
by: Nolau, Izabel, et al.
Published: (2025)

Nonparametric estimation of conditional probability distributions using a generative approach based on conditional push-forward neural networks
by: Franco, Nicola Rares, et al.
Published: (2025)

Efficient collaborative learning of the average treatment effect
by: Li, Sijia, et al.
Published: (2024)

Encoding and inference on separable effects for sustained treatments
by: Gonzalez-Perez, Ignacio, et al.
Published: (2025)

Generalizing conditional average treatment effects from nested randomized trials to all trial-eligible individuals
by: Wen, Lan, et al.
Published: (2026)

Augmented match weighted estimators for average treatment effects
by: Xu, Tanchumin, et al.
Published: (2023)

Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events
by: Gronsbell, Jessica, et al.
Published: (2024)

Nonparametric inference for Poisson-Laguerre tessellations
by: van der Jagt, Thomas, et al.
Published: (2025)

A note on the properties of the confidence set for the local average treatment effect obtained by inverting the score test
by: Smucler, Ezequiel, et al.
Published: (2025)

Nonparametric efficient inference for network quantile causal effects under partial interference
by: Cheng, Chao, et al.
Published: (2026)

Nonparametric inference with massive data via grouped empirical likelihood
by: Wang, Yongda, et al.
Published: (2025)

Nonparametric tests of treatment effect homogeneity for policy-makers
by: Dukes, Oliver, et al.
Published: (2024)

Doubly robust average treatment effect estimation for survival data
by: Lee, Byeonghee, et al.
Published: (2025)

High confidence inference on the probability an individual benefits from treatment using experimental or observational data with known propensity scores
by: Ruiz, Gabriel, et al.
Published: (2022)

One-step TMLE for weighted average treatment effects
by: Liu, Yang, et al.
Published: (2026)

Absolute average and median treatment effects as causal estimands on metric spaces
by: Shin, Ha-Young, et al.
Published: (2024)

Efficient estimation of average treatment effects with unmeasured confounding and proxies
by: Ai, Chunrong, et al.
Published: (2025)

Estimating average treatment effects when treatment data are absent in a target study
by: Wen, Lan, et al.
Published: (2025)

Parameterising the effect of a continuous treatment using average derivative effects
by: Hines, Oliver J., et al.
Published: (2021)

Nonparametric estimation of an optimal treatment rule with fused randomized trials and missing effect modifiers
by: Williams, Nicholas, et al.
Published: (2025)

Nonparametric predictive inference for discrete data via Metropolis-adjusted Dirichlet sequences
by: Agnoletto, Davide, et al.
Published: (2025)

Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
by: Huang, Melody, et al.
Published: (2025)

Enhanced inference for distributions and quantiles of individual treatment effects in various experiments
by: Chen, Zhe, et al.
Published: (2024)

Estimating causal effects of functional treatments with modified functional treatment policies
by: Jiang, Ziren, et al.
Published: (2026)

Estimating conditional hazard functions and densities with the highly-adaptive lasso
by: Munch, Anders, et al.
Published: (2024)

Significant inference and confidence sets for graphical models
by: Koldanov, P. A., et al.
Published: (2025)

Statistical inference of heterogeneous treatment effects using semiparametric single-index model
by: Yu, Jichang, et al.
Published: (2025)

Efficient estimation of the target population average treatment effect from multi-source data
by: Su, Zehao, et al.
Published: (2024)

A comparison of methods for estimating the average treatment effect on the treated for externally controlled trials
by: Wang, Huan, et al.
Published: (2024)

Estimating the average treatment effect in cluster-randomized trials with misclassified outcomes and non-random validation subsets
by: Isenberg, Dane, et al.
Published: (2025)