Cover Image

A Bayesian Nonparametric Method to Adjust for Unmeasured Confounding with Negative Controls

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Hu, Jie Kate, Zorzetto, Dafne, Dominici, Francesca
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Characterizing the Effects of Environmental Exposures on Social Mobility: Bayesian Semi-parametrics for Principal Stratification
by: Zorzetto, Dafne, et al.
Published: (2024)

Zero-Inflated Bayesian Multi-Study Infinite Non-Negative Matrix Factorization
by: Hansen, Blake, et al.
Published: (2025)

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

Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
by: Zorzetto, Dafne, et al.
Published: (2024)

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

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

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)

Understanding Spatial Regression Models from a Weighting Perspective in an Observational Study of Superfund Remediation
by: Woodward, Sophie M., et al.
Published: (2025)

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

Bayesian Nonparametrics for Gene-Gene and Gene-Environment Interactions in Case-Control Studies: A Synthesis and Extension
by: Bhattacharya, Durba, et al.
Published: (2026)

Modeling Insurance Claims using Bayesian Nonparametric Regression
by: Abadi, Mostafa Shams Esfand, et al.
Published: (2023)

On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)

Bayesian Nonparametric Risk Assessment in Developmental Toxicity Studies with Ordinal Responses
by: Kang, Jizhou, et al.
Published: (2024)

Monitoring Adverse Events Through Bayesian Nonparametric Clustering Across Studies
by: Yuan, Shijie, et al.
Published: (2025)

Bayesian Nonparametric Models for Multiple Raters: a General Statistical Framework
by: Mignemi, Giuseppe, et al.
Published: (2024)

Correlated Confounding Variables Are Not Easily Controlled for in Large Survey Research
by: Press, William H.
Published: (2025)

Bayesian Nonparametric Causal Inference for Quantile Residual Life: An Application to Alzheimer's Disease
by: Bae, Woojung, et al.
Published: (2026)

Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)

A Nonparametric and Functional Wombling Methodology
by: Barratt, Luke A., et al.
Published: (2025)

Nonparametric Monitoring of Spatial Dependence
by: Adämmer, Philipp, et al.
Published: (2024)

A General Framework for Powerful Confounder Adjustment in Omics Association Studies
by: Roy, Asmita, et al.
Published: (2022)

Bayesian Nonparametric Causal Inference for High-Dimensional Nutritional Data via Factor-Based Exposure Mapping
by: Zorzetto, Dafne, et al.
Published: (2026)

A Bayesian Discrete Framework for Enhancing Decision-Making Processes in Clinical Trial Designs and Evaluations
by: Pramanik, Paramahansa, et al.
Published: (2026)

A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
by: Huang, Xin-Wei, et al.
Published: (2025)

Posterior Quantification of Borrowing from Multiple Historical Control Data in Bayesian Dynamic Borrowing Methods: A Scoping Review
by: Ohigashi, Tomohiro, et al.
Published: (2026)

Stochastic Nonparametric Estimation of the Density-Flow Curve
by: Kriuchkov, Iaroslav, et al.
Published: (2023)

Nonparametric estimation of the Patient Weighted While-Alive Estimand
by: Ragni, Alessandra, et al.
Published: (2024)

Adjusting for indirectly measured confounding using large-scale propensity scores
by: Zhang, Linying, et al.
Published: (2021)

Risk-Adjusted learning curve assessment using comparative probability metrics
by: Nadi, Adel Ahmadi, et al.
Published: (2025)

Correlation-Adjusted Simultaneous Testing for Ultra High-dimensional Grouped Data
by: Gauran, Iris Ivy, et al.
Published: (2024)

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

An Instrumental Variables Framework to Unite Spatial Confounding Methods
by: Woodward, Sophie M., et al.
Published: (2024)

Nonparametric Bayes multiresolution testing for high-dimensional rare events
by: Datta, Jyotishka, et al.
Published: (2023)

Nonparametric Estimation and Comparison of Distance Distributions from Censored Data
by: McCabe, Lucas H.
Published: (2023)

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

Adjusting for Selection Bias Due to Missing Eligibility Criteria in Emulated Target Trials
by: Benz, Luke, et al.
Published: (2024)

A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
by: Sisti, Anthony, et al.
Published: (2024)

A Bayesian multivariate extreme value mixture model
by: Hu, Chenglei, et al.
Published: (2024)