Undersmoothed LASSO Models for Propensity Score Weighting and Synthetic Negative Control Exposures for Bias Detection
Fuente:
arXiv
Saved in:
| Main Authors: | Wyss, Richard, Hansen, Ben B., Hahn, Georg, van der Laan, Lars, Lin, Kueiyu Joshua |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Tuning LASSO Models for Propensity Score Weighting and Using Synthetic Negative Control Exposures for Residual Bias Detection
by: Richard Wyss, et al.
Published: (2026)
by: Richard Wyss, et al.
Published: (2026)
Stabilized Inverse Probability Weighting via Isotonic Calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Undersmoothing Causal Estimators with Generative Trees
by: Machlanski, Damian, et al.
Published: (2022)
by: Machlanski, Damian, et al.
Published: (2022)
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)
Propensity score adjustment when errors in achievement measures inform treatment assignment
by: Wasserman, Joshua, et al.
Published: (2025)
by: Wasserman, Joshua, 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)
by: van der Laan, Lars, et al.
Published: (2023)
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)
Score-Preserving Targeted Maximum Likelihood Estimation
by: Pimentel, Noel, et al.
Published: (2025)
by: Pimentel, Noel, et al.
Published: (2025)
On the Conservativeness of Robust Variance Estimators in Propensity Score Weighted Cox Models
by: Morita, Hiroya, et al.
Published: (2026)
by: Morita, Hiroya, et al.
Published: (2026)
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)
Self-Calibrating Conformal Prediction
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting
by: Wallin, Gabriel, et al.
Published: (2024)
by: Wallin, Gabriel, et al.
Published: (2024)
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)
Calibeating Prediction-Powered Inference
by: van der Laan, Lars, et al.
Published: (2026)
by: van der Laan, Lars, 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)
Combining T-learning and DR-learning: a framework for oracle-efficient estimation of causal contrasts
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Propensity Score Weighting to Ensure Balance in Key Subgroups or Strata: A Practical Guide
by: Mackay, Emma K., et al.
Published: (2026)
by: Mackay, Emma K., et al.
Published: (2026)
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)
Propensity Score Propagation: A General Framework for Design-Based Inference with Unknown Propensity Scores
by: Heng, Siyu, et al.
Published: (2026)
by: Heng, Siyu, et al.
Published: (2026)
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)
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)
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)
Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)
by: van der Laan, Lars, et al.
Published: (2024)
Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times
by: Cao, Zhiqiang, et al.
Published: (2023)
by: Cao, Zhiqiang, et al.
Published: (2023)
Adjustment for Unmeasured Spatial Confounding in Settings of Continuous Exposure Conditional on the Binary Exposure Status: Conditional Generalized Propensity Score-Based Spatial Matching
by: Kim, Honghyok, et al.
Published: (2022)
by: Kim, Honghyok, et al.
Published: (2022)
Bayesian-based Propensity Score Subclassification Estimator
by: Orihara, Shunichiro, et al.
Published: (2024)
by: Orihara, Shunichiro, et al.
Published: (2024)
Propensity Score Analysis with Guaranteed Subgroup Balance
by: Li, Yan, et al.
Published: (2024)
by: Li, Yan, et al.
Published: (2024)
An Alternating Direction Method of Multipliers Algorithm for the Weighted Fused LASSO Signal Approximator
by: Dijkstra, Louis, et al.
Published: (2024)
by: Dijkstra, Louis, et al.
Published: (2024)
Debiased Inverse Propensity Score Weighting for Estimation of Average Treatment Effects with High-Dimensional Confounders
by: Wang, Yuhao, et al.
Published: (2020)
by: Wang, Yuhao, et al.
Published: (2020)
Local Balance Calibration for Nonparametric Propensity Score Estimation
by: Peng, Maosen, et al.
Published: (2024)
by: Peng, Maosen, et al.
Published: (2024)
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)
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)
Targeted Learning Estimation of Sampling Variance for Improved Inference
by: Ji, Yunwen, et al.
Published: (2025)
by: Ji, Yunwen, et al.
Published: (2025)
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
balnet: Pathwise Estimation of Covariate Balancing Propensity Scores
by: Sverdrup, Erik, et al.
Published: (2026)
by: Sverdrup, Erik, et al.
Published: (2026)
Propensity Score Alignment of Unpaired Multimodal Data
by: Xi, Johnny, et al.
Published: (2024)
by: Xi, Johnny, et al.
Published: (2024)
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)
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)
Comparison of the LASSO and Integrative LASSO with Penalty Factors (IPF-LASSO) methods for multi-omics data: Variable selection with Type I error control
by: Castel, Charlotte, et al.
Published: (2024)
by: Castel, Charlotte, 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)
Similar Items
-
Tuning LASSO Models for Propensity Score Weighting and Using Synthetic Negative Control Exposures for Residual Bias Detection
by: Richard Wyss, et al.
Published: (2026) -
Stabilized Inverse Probability Weighting via Isotonic Calibration
by: van der Laan, Lars, et al.
Published: (2024) -
Undersmoothing Causal Estimators with Generative Trees
by: Machlanski, Damian, et al.
Published: (2022) -
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) -
Propensity score adjustment when errors in achievement measures inform treatment assignment
by: Wasserman, Joshua, et al.
Published: (2025)