Targeted Learning Estimation of Sampling Variance for Improved Inference
Fuente:
arXiv
Saved in:
| Main Authors: | Ji, Yunwen, van der Laan, Mark, Hubbard, Alan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects using Targeted Learning
by: McCoy, David, et al.
Published: (2023)
by: McCoy, David, et al.
Published: (2023)
Data-Adaptive Identification of Effect Modifiers through Stochastic Shift Interventions and Cross-Validated Targeted Learning
by: McCoy, David, et al.
Published: (2024)
by: McCoy, David, et al.
Published: (2024)
HAL-Based Plug-in Estimation with Pointwise Asymptotic Normality of the Causal Dose-Response Curve
by: Shi, Junming, et al.
Published: (2024)
by: Shi, Junming, et al.
Published: (2024)
Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
by: van der Laan, Mark, et al.
Published: (2025)
by: van der Laan, Mark, et al.
Published: (2025)
Constructing Confidence Intervals for Infinite-Dimensional Functional Parameters by Highly Adaptive Lasso
by: Zhang, Wenxin, et al.
Published: (2025)
by: Zhang, Wenxin, et al.
Published: (2025)
Targeted Learning on Variable Importance Measure for Heterogeneous Treatment Effect
by: Li, Haodong, et al.
Published: (2023)
by: Li, Haodong, et al.
Published: (2023)
Semiparametric Discovery and Estimation of Interaction in Mixed Exposures using Stochastic Interventions
by: McCoy, David B., et al.
Published: (2023)
by: McCoy, David B., et al.
Published: (2023)
Score-Preserving Targeted Maximum Likelihood Estimation
by: Pimentel, Noel, et al.
Published: (2025)
by: Pimentel, Noel, et al.
Published: (2025)
An Online Meta-Level Adaptive Design Framework with Targeted Learning Inference: Applications to Evaluating and Utilizing Surrogate Outcomes in Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2024)
by: Zhang, Wenxin, et al.
Published: (2024)
Adaptive Targeted Maximum Likelihood Estimation of the Mean Potential Outcome under a Treatment Rule
by: Xu, Yichen, et al.
Published: (2026)
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)
by: van der Laan, Lars, et al.
Published: (2025)
Efficient Statistical Estimation for Sequential Adaptive Experiments with Implications for Adaptive Designs
by: Zhang, Wenxin, et al.
Published: (2025)
by: Zhang, Wenxin, et al.
Published: (2025)
Regularized Targeted Maximum Likelihood Estimation in Highly Adaptive Lasso Implied Working Models
by: Li, Yi, et al.
Published: (2025)
by: Li, Yi, et al.
Published: (2025)
Calibeating Prediction-Powered Inference
by: van der Laan, Lars, et al.
Published: (2026)
by: van der Laan, Lars, et al.
Published: (2026)
Hazard-Based Targeted Maximum Likelihood Estimation for Survival in Resampling Designs
by: Landsiedel, Kirsten E., et al.
Published: (2025)
by: Landsiedel, Kirsten E., et al.
Published: (2025)
Investigating Targeting Strategies and Truncation in TMLE for the Average Treatment Effect under Practical Positivity Violations
by: Xu, Yichen, et al.
Published: (2026)
by: Xu, Yichen, et al.
Published: (2026)
Efficient Targeted Maximum Likelihood Estimators for Two-Phase Design Problems
by: Qiu, Sky, et al.
Published: (2026)
by: Qiu, Sky, et al.
Published: (2026)
Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions
by: Boileau, Philippe, et al.
Published: (2021)
by: Boileau, Philippe, et al.
Published: (2021)
An Estimator-Robust Design for Augmenting Randomized Controlled Trial with External Real-World Data
by: Qiu, Sky, et al.
Published: (2025)
by: Qiu, Sky, et al.
Published: (2025)
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)
by: van der Laan, Mark, et al.
Published: (2024)
The Causal Roadmap and Simulations to Improve the Rigor and Reproducibility of Real-Data Applications
by: Nance, Nerissa, et al.
Published: (2023)
by: Nance, Nerissa, et al.
Published: (2023)
Bridging Binarization: Causal Inference with Dichotomized Continuous Exposures
by: Lee, Kaitlyn J., et al.
Published: (2024)
by: Lee, Kaitlyn J., et al.
Published: (2024)
Causal inference for calibrated scaling interventions on time-to-event processes
by: Rytgaard, Helene Charlotte Wiese, et al.
Published: (2025)
by: Rytgaard, Helene Charlotte Wiese, et al.
Published: (2025)
Adaptive debiased machine learning using data-driven model selection techniques
by: van der Laan, Lars, et al.
Published: (2023)
by: van der Laan, Lars, et al.
Published: (2023)
HAL-MLE Log-Splines Density Estimation (Part I: Univariate)
by: Hou, Yilong, et al.
Published: (2026)
by: Hou, Yilong, et al.
Published: (2026)
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
by: Liang, Zhongyuan, et al.
Published: (2025)
by: Liang, Zhongyuan, 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)
by: Phillips, Rachael V., et al.
Published: (2024)
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)
by: Rytgaard, Helene C. W., et al.
Published: (2024)
Super Ensemble Learning Using the Highly-Adaptive-Lasso
by: Wang, Zeyi, et al.
Published: (2023)
by: Wang, Zeyi, et al.
Published: (2023)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Powering RCTs for marginal effects with GLMs using prognostic score adjustment
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)
by: Højbjerre-Frandsen, Emilie, et al.
Published: (2025)
Higher-Order Efficient Estimators: A Review and Simulation-Based Benchmark Study
by: Wang, Zeyi, et al.
Published: (2026)
by: Wang, Zeyi, et al.
Published: (2026)
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)
by: van der Laan, Lars, et al.
Published: (2023)
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
by: Shirakawa, Toru, et al.
Published: (2024)
by: Shirakawa, Toru, et al.
Published: (2024)
Improving the Efficiency of Subgroup Analysis in Randomized Controlled Trials with TMLE
by: Qiu, Sky, et al.
Published: (2026)
by: Qiu, Sky, et al.
Published: (2026)
Why Is the Double-Robust Estimator for Causal Inference Not Doubly Robust for Variance Estimation?
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
Improving Variance Estimation for Covariate Adjustment with Binary Outcomes
by: Lee, Kaitlyn, et al.
Published: (2026)
by: Lee, Kaitlyn, et al.
Published: (2026)
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Improving Variance and Confidence Interval Estimation in Small-Sample Propensity Score Analyses: Bootstrap vs. Asymptotic Methods
by: Zhang, Baoshan, et al.
Published: (2025)
by: Zhang, Baoshan, et al.
Published: (2025)
A nonparametric framework for treatment effect modifier discovery in high dimensions
by: Boileau, Philippe, et al.
Published: (2023)
by: Boileau, Philippe, et al.
Published: (2023)
Similar Items
-
Discovery of Critical Thresholds in Mixed Exposures and Estimation of Policy Intervention Effects using Targeted Learning
by: McCoy, David, et al.
Published: (2023) -
Data-Adaptive Identification of Effect Modifiers through Stochastic Shift Interventions and Cross-Validated Targeted Learning
by: McCoy, David, et al.
Published: (2024) -
HAL-Based Plug-in Estimation with Pointwise Asymptotic Normality of the Causal Dose-Response Curve
by: Shi, Junming, et al.
Published: (2024) -
Technical Note: Targeted Maximum Likelihood Estimator for an ATE Standardized for New Target Population
by: van der Laan, Mark, et al.
Published: (2025) -
Constructing Confidence Intervals for Infinite-Dimensional Functional Parameters by Highly Adaptive Lasso
by: Zhang, Wenxin, et al.
Published: (2025)