Buchumschlag

Evaluating Unmeasured Confounding Factors in Claims Data Using Linked Electronic Health Records: A Proof‐of‐Principle Analysis

Fuente: Wiley Open Access

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Sushama Kattinakere Sreedhara, Haritha S. Pillai, Rishi J. Desai, Kerry Ngan, Ken Lai, Joyce Lii, Sarah K. Dutcher, Youjin Wang, Jummai Apata, Fang Tian, Ikponmwosa Osaghae, Jiwei He, John G. Connolly, Shirley V. Wang
Format:	Artículo Open Access
Veröffentlicht:	Wiley 2026
Schlagworte:	Clinical Pharmacology & Therapeutics
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

A chart review process aided by natural language processing and multi-wave adaptive sampling to expedite validation of code-based algorithms for large database studies
von: Wang, Shirley V, et al.
Veröffentlicht: (2025)

A Plasmode Simulation‐Based Bias Analysis for Residual Confounding by Unmeasured Variables Leveraging Information‐Rich Subsets
von: Rishi J. Desai, et al.
Veröffentlicht: (2026)

Multiple Regression Analysis of Unmeasured Confounding
von: Knaeble, Brian, et al.
Veröffentlicht: (2025)

Sequential Treatment Effect Estimation with Unmeasured Confounders
von: Wang, Yingrong, et al.
Veröffentlicht: (2025)

Automating the Selection of Proxy Variables of Unmeasured Confounders
von: Xie, Feng, et al.
Veröffentlicht: (2024)

The Role of Measured Covariates in Assessing Sensitivity to Unmeasured Confounding
von: Dalal, Abhinandan, et al.
Veröffentlicht: (2026)

Differentiable Cyclic Causal Discovery Under Unmeasured Confounders
von: Sethuraman, Muralikrishnna G., et al.
Veröffentlicht: (2025)

Reinforcement Learning with Continuous Actions Under Unmeasured Confounding
von: Li, Yuhan, et al.
Veröffentlicht: (2025)

Quantile-Optimal Policy Learning under Unmeasured Confounding
von: Chen, Zhongren, et al.
Veröffentlicht: (2025)

Information-Theoretic Causal Bounds under Unmeasured Confounding
von: Jung, Yonghan, et al.
Veröffentlicht: (2026)

EVALUATING THE READINESS AND CAPACITY OF PUBLIC LIBRARIES FOR DIGITAL TRANSFORMATION IN ADAMAWA STATE, NIGERIA
von: Jummai Ali Kwari
Veröffentlicht: (2025)

Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
von: Boileau, Philippe, et al.
Veröffentlicht: (2026)

Navigating Unmeasured Confounding in Quantitative Sociology: A Sensitivity Framework
von: Lin, Cheng, et al.
Veröffentlicht: (2023)

Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding
von: Boram Jeong, et al.
Veröffentlicht: (2024)

Awareness and interest in cannabis use for cancer management among cancer survivors
von: Ikponmwosa Osaghae, et al.
Veröffentlicht: (2024)

Establishing a Validation Framework of Treatment Discontinuation in Claims Data Using Natural Language Processing and Electronic Health Records
von: Chun‐Ting Yang, et al.
Veröffentlicht: (2025)

Quantifying Robustness to Unmeasured Confounding in Time-Varying Treatment Confounder Settings: An Extension of E-value Approach
von: Sium, Md. Niamul Islam
Veröffentlicht: (2026)

Bayesian Sensitivity Analysis for Causal Estimation with Time-varying Unmeasured Confounding
von: Zou, Yushu, et al.
Veröffentlicht: (2025)

Nonparametric Bayesian Adjustment of Unmeasured Confounders in Cox Proportional Hazards Models
von: Orihara, Shunichiro, et al.
Veröffentlicht: (2023)

Discovering Causal Relationships using Proxy Variables under Unmeasured Confounding
von: Wu, Yong, et al.
Veröffentlicht: (2025)

When Is Causal Inference Possible? A Statistical Test for Unmeasured Confounding
von: Liu, Muye, et al.
Veröffentlicht: (2025)

Optimization-based Sensitivity Analysis for Unmeasured Confounding using Partial Correlations
von: Freidling, Tobias, et al.
Veröffentlicht: (2022)

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls
von: Hu, Jie Kate, et al.
Veröffentlicht: (2023)

Bayesian Sensitivity Analysis for Causal Estimation With Time‐Varying Unmeasured Confounding
von: Yushu Zou, et al.
Veröffentlicht: (2026)

Simple yet Sharp Sensitivity Analysis for Any Contrast Under Unmeasured Confounding
von: Peña, Jose M.
Veröffentlicht: (2024)

Nonparametric Bounds in Causal Mediation Analysis in the Presence of Unmeasured Confounding and Imperfect Compliance
von: Liang, Wei, et al.
Veröffentlicht: (2025)

A Principled Approach to Adjust for Unmeasured Time‐Stable Confounding of Supervised Treatment
von: Jeppe Ekstrand Halkjær Madsen, et al.
Veröffentlicht: (2024)

Minimizing Racial Algorithmic Bias when Predicting Electronic Health Record Data Completeness
von: Priyanka Anand, et al.
Veröffentlicht: (2025)

Differentiable Causal Discovery of Linear Non-Gaussian Acyclic Models Under Unmeasured Confounding
von: Morinishi, Yoshimitsu, et al.
Veröffentlicht: (2025)

A Novel Secondary‐Outcome Approach to Estimating Primary Causal Effects With Unmeasured Confounders
von: Desu Kong, et al.
Veröffentlicht: (2026)

Robust Estimation and Model Selection for the Controlled Directed Effect with Unmeasured Mediator-Outcome Confounders
von: Orihara, Shunichiro, et al.
Veröffentlicht: (2024)

A Bayesian Approach to Estimate Causal Average Treatment Effects Under Unmeasured Confounding
von: Jinghong Zeng
Veröffentlicht: (2026)

Identifying Unmeasured Confounders in Panel Causal Models: A Two-Stage LM-Wald Approach
von: Zheng, Bang Quan
Veröffentlicht: (2025)

Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding
von: Huang, Shimeng, et al.
Veröffentlicht: (2024)

Difference-in-Differences using Double Negative Controls and Graph Neural Networks for Unmeasured Network Confounding
von: Zhang, Zihan, et al.
Veröffentlicht: (2026)

Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence
von: Fang, Yixin, et al.
Veröffentlicht: (2023)

Dermatoscopy of pigmentary changes in systemic sclerosis
von: Sushama Sushama, et al.
Veröffentlicht: (2024)

The FDA Sentinel Real World Evidence Data Enterprise (RWE‐DE)
von: Rishi J. Desai, et al.
Veröffentlicht: (2024)

Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes
von: Seungjae Lee, et al.
Veröffentlicht: (2024)

A Non-parametric Direct Learning Approach to Heterogeneous Treatment Effect Estimation under Unmeasured Confounding
von: Zhang, Xinhai, et al.
Veröffentlicht: (2024)