Cover Image

Doubly robust causal inference through penalized bias-reduced estimation: combining non-probability samples with designed surveys

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Du, Jiacong, Shi, Xu, Zeng, Donglin, Mukherjee, Bhramar
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A new statistical approach for joint modeling of longitudinal outcomes measured in electronic health records with clinically informative presence and observation processes
by: Du, Jiacong, et al.
Published: (2024)

Doubly-robust and heteroscedasticity-aware sample trimming for causal inference
by: Khan, Samir, et al.
Published: (2022)

Principled analysis of crossover designs: causal effects, efficient estimation, and robust inference
by: Jiang, Zhichao, et al.
Published: (2025)

A Doubly Robust Framework for Addressing Outcome-Dependent Selection Bias in Multi-Cohort EHR Studies
by: Kundu, Ritoban, et al.
Published: (2024)

Doubly robust estimation and inference for a log-concave counterfactual density
by: Ham, Daeyoung, et al.
Published: (2024)

Doubly robust integration of nonprobability and probability survey data
by: Seaman, Shaun R, et al.
Published: (2025)

On robust Bayesian causal inference
by: Alexopoulos, Angelos, et al.
Published: (2025)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

Debiased machine learning for combining probability and non-probability survey data
by: Seaman, Shaun
Published: (2025)

Doubly robust inference with censoring unbiased transformations
by: Sandqvist, Oliver Lunding
Published: (2024)

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

Doubly-robust inference and optimality in structure-agnostic models with smoothness
by: Bonvini, Matteo, et al.
Published: (2024)

Doubly robust estimation of causal effects for random object outcomes with continuous treatments
by: Bhattacharjee, Satarupa, et al.
Published: (2025)

Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
by: Yang, Youqi, et al.
Published: (2026)

Disentangling spatial interference and spatial confounding biases in causal inference
by: Ogunsola, Isqeel, et al.
Published: (2026)

Low-order outcomes and clustered designs: combining design and analysis for causal inference under network interference
by: Eichhorn, Matthew, et al.
Published: (2024)

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

Doubly robust estimation with functional outcomes missing at random
by: Liu, Xijia, et al.
Published: (2024)

Doubly robust estimation and sensitivity analysis for marginal structural quantile models
by: Cheng, Chao, et al.
Published: (2022)

Conformal causal inference for cluster randomized trials: model-robust inference without asymptotic approximations
by: Wang, Bingkai, et al.
Published: (2024)

Robust Bayesian causal estimation for causal inference in medical diagnosis
by: Basu, Tathagata, et al.
Published: (2024)

Doubly robust estimation of marginal cumulative incidence curves for competing risk analysis
by: van Hage, Patrick, et al.
Published: (2024)

A doubly robust estimator for the Mann Whitney Wilcoxon Rank Sum Test when applied for causal inference in observational studies
by: Chen, Ruohui, et al.
Published: (2024)

Towards a unified approach to formal risk of bias assessments for causal and descriptive inference
by: Pescott, Oliver L., et al.
Published: (2023)

A roadmap for systematic identification and analysis of multiple biases in causal inference
by: Wijesuriya, Rushani, et al.
Published: (2025)

Valid post-selection inference for penalized G-estimation
by: Jaman, Ajmery, et al.
Published: (2025)

Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
by: Xia, Junwen, et al.
Published: (2022)

Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials
by: Tong, Jiaqi, et al.
Published: (2024)

Doubly robust estimators of the restricted mean time in favor estimands in individual- and cluster-randomized trials
by: Fang, Xi, et al.
Published: (2026)

Multiply robust estimation for causal survival analysis with treatment noncompliance
by: Cheng, Chao, et al.
Published: (2023)

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

Confounder-robust causal discovery and inference in Perturb-seq using proxy and instrumental variables
by: Park, Kwangmoon, et al.
Published: (2026)

A confounding bridge approach for double negative control inference on causal effects
by: Miao, Wang, et al.
Published: (2018)

Online robust estimation and bootstrap inference for function-on-scalar regression
by: Cheng, Guanghui, et al.
Published: (2024)

Post-selection inference for penalized M-estimators via score thinning
by: Perry, Ronan, et al.
Published: (2026)

Efficiency-improved doubly robust estimation with non-confounding predictive covariates
by: Luo, Shanshan, et al.
Published: (2024)

Inverting estimating equations for causal inference on quantiles
by: Cheng, Chao, et al.
Published: (2024)

A Unified Framework for Inference with General Missingness Patterns and Machine Learning Imputation
by: Chen, Xingran, et al.
Published: (2025)

On the estimation of complex statistics combining different surveys
by: Chasiotis, Vasilis, et al.
Published: (2024)

Regression-based proximal causal inference for right-censored time-to-event data
by: Li, Kendrick, et al.
Published: (2024)