Bayesian Network Propensity Score to Evaluate Treatment Effects in Observational Studies
Fuente:
arXiv
Saved in:
| Main Authors: | Di Serio, Clelia, Cugnata, Federica, Conti, Pier Luigi, Briganti, Alberto, Mecatti, Fulvia, Vicard, Paola, Rancoita, Paola Maria Vittoria |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Testing for causal effect for binary data when propensity scores are estimated through Bayesian Networks
by: Vicard, Paola, et al.
Published: (2023)
by: Vicard, Paola, et al.
Published: (2023)
Propensity Score Matching: Should We Use It in Designing Observational Studies?
by: Wan, Fei
Published: (2024)
by: Wan, Fei
Published: (2024)
Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026)
by: Das, Apu Chandra, et al.
Published: (2026)
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)
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
by: Khellaf, Rémi, et al.
Published: (2025)
by: Khellaf, Rémi, et al.
Published: (2025)
A Bayesian Method for Adverse Effects Estimation in Observational Studies with Truncation by Death
by: Sisti, Anthony, et al.
Published: (2024)
by: Sisti, Anthony, et al.
Published: (2024)
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)
Identifying Treatment Effect Heterogeneity with Bayesian Hierarchical Adjustable Random Partition in Adaptive Enrichment Trials
by: Zhao, Xianglin, et al.
Published: (2025)
by: Zhao, Xianglin, et al.
Published: (2025)
Pathway-based Bayesian factor models for 'omics data
by: Mauri, Lorenzo, et al.
Published: (2026)
by: Mauri, Lorenzo, et al.
Published: (2026)
Personalized Treatment Hierarchies in Bayesian Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)
by: Wigle, Augustine, et al.
Published: (2026)
Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
by: Sechidis, Konstantinos, et al.
Published: (2025)
by: Sechidis, Konstantinos, et al.
Published: (2025)
On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)
by: Zaccardi, Carlo, et al.
Published: (2024)
Statistical Considerations for Evaluating Treatment Effect under Various Non-proportional Hazard Scenarios
by: Zhang, Xinyu, et al.
Published: (2024)
by: Zhang, Xinyu, et al.
Published: (2024)
A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
by: Zhang, Cong, et al.
Published: (2026)
by: Zhang, Cong, et al.
Published: (2026)
Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
by: Shin, Heejun, et al.
Published: (2024)
by: Shin, Heejun, et al.
Published: (2024)
A Bayesian Classification Trees Approach to Treatment Effect Variation with Noncompliance
by: Fisher, Jared D., et al.
Published: (2024)
by: Fisher, Jared D., et al.
Published: (2024)
Nonparametric Bayesian Multi-Treatment Mixture Cure Survival Model with Application in Pediatric Oncology
by: Chang, Peter, et al.
Published: (2025)
by: Chang, Peter, et al.
Published: (2025)
A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
by: Komaki, Moka, et al.
Published: (2025)
by: Komaki, Moka, et al.
Published: (2025)
BMW: Bayesian Model-Assisted Adaptive Phase II Clinical Trial Design for Win Ratio Statistic
by: Zhu, Di, et al.
Published: (2026)
by: Zhu, Di, et al.
Published: (2026)
Statistical Challenges in Analyzing Migrant Backgrounds Among University Students: a Case Study from Italy
by: Giammei, Lorenzo, et al.
Published: (2025)
by: Giammei, Lorenzo, et al.
Published: (2025)
Treatment Effect Learning Under Sequential Randomization
by: Friedberg, Rina, et al.
Published: (2025)
by: Friedberg, Rina, et al.
Published: (2025)
Doubly-Robust Bayesian Estimation of Optimal Individualized Treatment Rules using Network Meta-Analysis
by: Wigle, Augustine, et al.
Published: (2026)
by: Wigle, Augustine, et al.
Published: (2026)
A Universal Framework for Factorial Matched Observational Studies with General Treatment Types: Design, Analysis, and Applications
by: Zhu, Jianan, et al.
Published: (2025)
by: Zhu, Jianan, et al.
Published: (2025)
Bayesian estimation of clustered dependence structures in functional neuroconnectivity
by: Kim, Hyoshin, et al.
Published: (2023)
by: Kim, Hyoshin, et al.
Published: (2023)
Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials
by: Li, Changjun, et al.
Published: (2025)
by: Li, Changjun, et al.
Published: (2025)
Two-Phase Treatment with Noncompliance: Identifying the Cumulative Average Treatment Effect via Multisite Instrumental Variables
by: Hong, Guanglei, et al.
Published: (2025)
by: Hong, Guanglei, et al.
Published: (2025)
Bias Mitigation in Matched Observational Studies with Continuous Treatments: Calipered Non-Bipartite Matching and Bias-Corrected Estimation and Inference
by: Frazier, Anthony, et al.
Published: (2024)
by: Frazier, Anthony, et al.
Published: (2024)
The underreported death toll of wars: a probabilistic reassessment from a structured expert elicitation
by: Vesco, Paola, et al.
Published: (2024)
by: Vesco, Paola, et al.
Published: (2024)
Assessing Heterogeneity of Treatment Effects
by: Kaji, Tetsuya, et al.
Published: (2023)
by: Kaji, Tetsuya, et al.
Published: (2023)
Stochastic Search Variable Selection for Bayesian Generalized Linear Mixed Effect Models
by: Ding, Feng, et al.
Published: (2024)
by: Ding, Feng, et al.
Published: (2024)
Estimating Conditional Average Treatment Effects with Heteroscedasticity by Model Averaging and Matching
by: Shi, Pengfei, et al.
Published: (2023)
by: Shi, Pengfei, et al.
Published: (2023)
Characterizing the Effects of Environmental Exposures on Social Mobility: Bayesian Semi-parametrics for Principal Stratification
by: Zorzetto, Dafne, et al.
Published: (2024)
by: Zorzetto, Dafne, et al.
Published: (2024)
Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
by: Kim, David, et al.
Published: (2026)
by: Kim, David, et al.
Published: (2026)
Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)
by: Goplerud, Max, et al.
Published: (2022)
Shifting the Paradigm: Estimating Heterogeneous Treatment Effects in the Development of Walkable Cities Design
by: Zhu, Jie, et al.
Published: (2024)
by: Zhu, Jie, et al.
Published: (2024)
Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
by: Li, Jiaxun, et al.
Published: (2025)
by: Li, Jiaxun, et al.
Published: (2025)
Model-Twin Randomization (MoTR) for Estimating the Recurring Individual Treatment Effect
by: Daza, Eric J., et al.
Published: (2022)
by: Daza, Eric J., et al.
Published: (2022)
Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)
by: Bo, Na, et al.
Published: (2024)
Protocol for an Observational Study on the Effects of Paternal Alcohol Use Disorder on Children's Later Life Outcomes
by: Bekerman, William, et al.
Published: (2024)
by: Bekerman, William, et al.
Published: (2024)
Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)
by: Yang, Cheng-Han, et al.
Published: (2026)
Similar Items
-
Testing for causal effect for binary data when propensity scores are estimated through Bayesian Networks
by: Vicard, Paola, et al.
Published: (2023) -
Propensity Score Matching: Should We Use It in Designing Observational Studies?
by: Wan, Fei
Published: (2024) -
Application of Propensity Score Models and Causal Estimators in Observational Studies under Model Misspecification
by: Das, Apu Chandra, et al.
Published: (2026) -
Propensity Score Methods for Local Test Score Equating: Stratification and Inverse Probability Weighting
by: Wallin, Gabriel, et al.
Published: (2024) -
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
by: Khellaf, Rémi, et al.
Published: (2025)