Cover Image

Efficient Estimation Under Data Fusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Sijia, Luedtke, Alex
Format:	Preprint
Published:	2021
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data fusion using weakly aligned sources
by: Li, Sijia, et al.
Published: (2023)

Estimation of causal dose-response functions under data fusion
by: Lim, Jaewon, et al.
Published: (2025)

Simplifying debiased inference via automatic differentiation and probabilistic programming
by: Luedtke, Alex
Published: (2024)

Conditional Distributional Treatment Effects: Doubly Robust Estimation and Testing
by: Jain, Saksham, et al.
Published: (2026)

Propensity Score Augmentation in Matching-based Estimation of Causal Effects
by: Ulloa-Pérez, Ernesto, et al.
Published: (2024)

DoubleGen: Debiased Generative Modeling of Counterfactuals
by: Luedtke, Alex, et al.
Published: (2025)

Sequentially Doubly Robust Estimation of Conditional Survival Probability with Time-Varying Covariates
by: Qiu, Hongxiang, et al.
Published: (2025)

Sinkhorn Treatment Effects: A Causal Optimal Transport Measure
by: Agarwal, Medha, et al.
Published: (2026)

Efficient Inference for Time-to-Event Outcomes by Integrating Right-Censored and Current Status Data
by: Li, Xiudi, 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)

Comparing HIV Vaccine Immunogenicity across Trials with Different Populations and Study Designs
by: Jin, Yutong, et al.
Published: (2024)

Efficient Inference for Covariate-adjusted Bradley-Terry Model with Covariate Shift
by: Li, Xiudi, et al.
Published: (2025)

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

Inference on Variable Importance for Treatment Effect Heterogeneity: Shapley Values and Beyond
by: Morzywolek, Pawel, et al.
Published: (2025)

Doubly robust inference via calibration
by: van der Laan, Lars, et al.
Published: (2024)

Stabilized Inverse Probability Weighting via Isotonic Calibration
by: van der Laan, Lars, et al.
Published: (2024)

Efficient and Model-Agnostic Parameter Estimation Under Privacy-Preserving Post-randomization Data
by: Tian, Qinglong, et al.
Published: (2024)

Efficient Multiple-Robust Estimation for Nonresponse Data Under Informative Sampling
by: Morikawa, Kosuke, et al.
Published: (2023)

Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
by: van der Laan, Lars, et al.
Published: (2025)

Data Fusion for High-Resolution Estimation
by: Guan, Amy, et al.
Published: (2025)

A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
by: Lee, Jaron J. R., et al.
Published: (2024)

Semiparametric Efficient Fusion of Individual Data and Summary Statistics
by: Hu, Wenjie, et al.
Published: (2022)

Identification and Estimation for Nonignorable Missing Data: A Data Fusion Approach
by: Wang, Zixiao, et al.
Published: (2023)

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

Asymptotically Efficient Data-adaptive Penalized Shrinkage Estimation with Application to Causal Inference
by: Susmann, Herbert P., et al.
Published: (2025)

Efficient Estimation of Causal Effects Under Two-Phase Sampling with Error-Prone Outcome and Treatment Measurements
by: Barnatchez, Keith, et al.
Published: (2025)

Thresholding Nonprobability Units in Combined Data for Efficient Domain Estimation
by: Savitsky, Terrance D., et al.
Published: (2025)

Feasible Fusion: Constrained Joint Estimation under Structural Non-Overlap
by: Du, Yuxi, et al.
Published: (2026)

Efficient Inference for Noisy LLM-as-a-Judge Evaluation
by: Chen, Yiqun T, et al.
Published: (2026)

Optimal Data Integration and Adaptive Sampling for Efficient Treatment Effect Estimation
by: Liu, Yen-Chun, et al.
Published: (2026)

Estimation of Treatment Effects Under Nonstationarity via the Truncated Policy Gradient Estimator
by: Johari, Ramesh, et al.
Published: (2025)

Efficient Covariance Estimation for Sparsified Functional Data
by: Zheng, Sijie, et al.
Published: (2025)

Interval Estimation for Binomial Proportions Under Differential Privacy
by: Kao, Hsuan-Chen, et al.
Published: (2025)

Unsupervised Learning Under a General Semiparametric Clusterwise Elliptical Distribution: Efficient Estimation, Optimal Clustering, and Consistent Cluster Selection
by: Teng, Jen-Chieh, et al.
Published: (2026)

Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)

Estimating Treatment Effects Under Bounded Heterogeneity
by: Kwon, Soonwoo, et al.
Published: (2025)

Fusion of Tree-induced Regressions for Clinico-genomic Data
by: Goedhart, Jeroen M., et al.
Published: (2024)

Causal Data Fusion for Panel Data without a Pre-Intervention Period
by: Yang, Zou, et al.
Published: (2024)

Synthetic Data Generation With Incomplete Survey Data Under Informative Sampling
by: Almomani, Ayat, et al.
Published: (2026)

Enhancing Causal Effect Estimation with Diffusion-Generated Data
by: Chen, Li, et al.
Published: (2025)