:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhang, Wenxin, Hudson, Aaron, Petersen, Maya, van der Laan, Mark
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2408.02667
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2025)

Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs
by: Landsiedel, Kirsten E., et al.
Published: (2025)

Data-Adaptive Identification of Effect Modifiers through Stochastic Shift Interventions and Cross-Validated Targeted Learning
by: McCoy, David, et al.
Published: (2024)

Super Ensemble Learning Using the Highly-Adaptive-Lasso
by: Wang, Zeyi, et al.
Published: (2023)

Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026)

Constructing Confidence Intervals for Infinite-Dimensional Functional Parameters by Highly Adaptive Lasso
by: Zhang, Wenxin, et al.
Published: (2025)

Targeted Learning Estimation of Sampling Variance for Improved Inference
by: Ji, Yunwen, et al.
Published: (2025)

The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-Data Applications
by: Nance, Nerissa, et al.
Published: (2023)

Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models
by: Li, Yi, et al.
Published: (2025)

Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
by: van der Laan, Mark, et al.
Published: (2025)

Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)

Adaptive-TMLE for the Average Treatment Effect based on Randomized Controlled Trial Augmented with Real-World Data
by: van der Laan, Mark, et al.
Published: (2024)

Machine learning to optimize precision in the analysis of randomized trials: A journey in pre-specified, yet data-adaptive learning
by: Balzer, Laura B., et al.
Published: (2025)

SLOACI: Surrogate-Leveraged Online Adaptive Causal Inference
by: Fan, Yingying, et al.
Published: (2025)

Calibeating Prediction-Powered Inference
by: van der Laan, Lars, et al.
Published: (2026)

HAL-Based Plug-in Estimation with Pointwise Asymptotic Normality of the Causal Dose-Response Curve
by: Shi, Junming, et al.
Published: (2024)

Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems
by: Qiu, Sky, et al.
Published: (2026)

Improving the Efficiency of Subgroup Analysis in Randomized Controlled Trials with TMLE
by: Qiu, Sky, et al.
Published: (2026)

Score-Preserving Targeted Maximum Likelihood Estimation
by: Pimentel, Noel, et al.
Published: (2025)

An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data
by: Qiu, Sky, et al.
Published: (2025)

Surrogate-Powered Inference: Regularization and Adaptivity
by: Chen, Jianmin, et al.
Published: (2025)

Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects using Targeted Learning
by: McCoy, David, et al.
Published: (2023)

Investigating Targeting Strategies and Truncation in TMLE for the Average Treatment Effect under Practical Positivity Violations
by: Xu, Yichen, et al.
Published: (2026)

Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference
by: van der Laan, Lars, et al.
Published: (2025)

Optimal Adaptive SMART Designs with Binary Outcomes
by: Ghosh, Rik, et al.
Published: (2023)

Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
by: van der Laan, Lars, et al.
Published: (2025)

Experiment-selector cross-validated targeted maximum likelihood estimator for hybrid RCT-external data studies
by: Dang, Lauren Eyler, et al.
Published: (2022)

Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
by: Liang, Zhongyuan, et al.
Published: (2025)

Targeted Learning on Variable Importance Measure for Heterogeneous Treatment Effect
by: Li, Haodong, et al.
Published: (2023)

Covariate-Adjusted Response-Adaptive Design with Delayed Outcomes
by: Ma, Xinwei, et al.
Published: (2025)

Causal inference for calibrated scaling interventions on time-to-event processes
by: Rytgaard, Helene Charlotte Wiese, et al.
Published: (2025)

[Invited Discussion] Randomization Tests to Address Disruptions in Clinical Trials: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions
by: Phillips, Rachael V., et al.
Published: (2024)

Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)

Nonparametric efficient causal estimation of the intervention-specific expected number of recurrent events with continuous-time targeted maximum likelihood and highly adaptive lasso estimation
by: Rytgaard, Helene C. W., et al.
Published: (2024)

Powering RCTs for marginal effects with GLMs using prognostic score adjustment
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)

Evaluation of Surrogate Endpoints Based on Meta-Analysis with Surrogate Indices
by: Stijven, Florian, et al.
Published: (2025)

Semiparametric logistic regression for inference on relative vaccine efficacy in case-only studies with informative missingness
by: van der Laan, Lars, et al.
Published: (2023)

Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions
by: Boileau, Philippe, et al.
Published: (2021)

Stronger Neyman Regret Guarantees for Adaptive Experimental Design
by: Noarov, Georgy, et al.
Published: (2025)

Externally Controlled Trials: A Review of Design and Borrowing Through a Causal Lens
by: Zhu, Ke, et al.
Published: (2026)