Causal Meta-Analysis: Rethinking the Foundations of Evidence-Based Medicine
Fuente:
arXiv
Saved in:
| Main Authors: | Berenfeld, Clément, Boughdiri, Ahmed, Colnet, Bénédicte, van Amsterdam, Wouter A. C., Bellet, Aurélien, Khellaf, Rémi, Scornet, Erwan, Josse, Julie |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified Framework for the Transportability of Population-Level Causal Measures
by: Boughdiri, Ahmed, et al.
Published: (2025)
by: Boughdiri, Ahmed, et al.
Published: (2025)
Quantifying Treatment Effects: Estimating Risk Ratios in Causal Inference
by: Boughdiri, Ahmed, et al.
Published: (2024)
by: Boughdiri, Ahmed, 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)
Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?
by: Colnet, Bénédicte, et al.
Published: (2023)
by: Colnet, Bénédicte, et al.
Published: (2023)
Reweighting the RCT for generalization: finite sample error and variable selection
by: Colnet, Bénédicte, et al.
Published: (2022)
by: Colnet, Bénédicte, et al.
Published: (2022)
Principled Federated Random Forests for Heterogeneous Data
by: Khellaf, Rémi, et al.
Published: (2026)
by: Khellaf, Rémi, et al.
Published: (2026)
Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis
by: Khellaf, Rémi, et al.
Published: (2024)
by: Khellaf, Rémi, et al.
Published: (2024)
Treatment Effect Estimation in Causal Survival Analysis: Practical Recommendations
by: Voinot, Charlotte, et al.
Published: (2025)
by: Voinot, Charlotte, et al.
Published: (2025)
Rethinking the Win Ratio: A Causal Framework for Hierarchical Outcome Analysis
by: Even, Mathieu, et al.
Published: (2025)
by: Even, Mathieu, et al.
Published: (2025)
Causal Evaluation of Membership Inference Attacks
by: Even, Mathieu, et al.
Published: (2026)
by: Even, Mathieu, et al.
Published: (2026)
A causal viewpoint on prediction model performance under changes in case-mix: discrimination and calibration respond differently for prognosis and diagnosis predictions
by: van Amsterdam, Wouter A. C.
Published: (2024)
by: van Amsterdam, Wouter A. C.
Published: (2024)
Estimating treatment duration effects via clone-censor-weight: a breast cancer case study
by: Voinot, Charlotte, et al.
Published: (2026)
by: Voinot, Charlotte, et al.
Published: (2026)
Causally-interpretable meta-analysis using aggregate data
by: Shi, Qingyang, et al.
Published: (2026)
by: Shi, Qingyang, et al.
Published: (2026)
How to rank imputation methods?
by: Näf, Jeffrey, et al.
Published: (2025)
by: Näf, Jeffrey, et al.
Published: (2025)
MMD-based Variable Importance for Distributional Random Forest
by: Bénard, Clément, et al.
Published: (2023)
by: Bénard, Clément, et al.
Published: (2023)
When Pattern-by-Pattern Works: Theoretical and Empirical Insights for Logistic Models with Missing Values
by: Muller, Christophe, et al.
Published: (2025)
by: Muller, Christophe, et al.
Published: (2025)
What Is a Good Imputation Under MAR Missingness?
by: Näf, Jeffrey, et al.
Published: (2024)
by: Näf, Jeffrey, et al.
Published: (2024)
Optimal Transport with Heterogeneously Missing Data
by: Bleistein, Linus, et al.
Published: (2025)
by: Bleistein, Linus, et al.
Published: (2025)
Model Agnostic Differentially Private Causal Inference
by: Lebeda, Christian Janos, et al.
Published: (2025)
by: Lebeda, Christian Janos, et al.
Published: (2025)
When accurate prediction models yield harmful self-fulfilling prophecies
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
by: van Amsterdam, Wouter A. C., et al.
Published: (2023)
Predictive Uncertainty Quantification with Missing Covariates
by: Zaffran, Margaux, et al.
Published: (2024)
by: Zaffran, Margaux, et al.
Published: (2024)
R-miss-tastic: a unified platform for missing values methods and workflows
by: Mayer, Imke, et al.
Published: (2019)
by: Mayer, Imke, et al.
Published: (2019)
Policy learning under constraint: Maximizing a primary outcome while controlling an adverse event
by: Fuentes-Vicente, Laura, et al.
Published: (2026)
by: Fuentes-Vicente, Laura, et al.
Published: (2026)
Causal Meta-Analysis by Integrating Multiple Observational Studies with Multivariate Outcomes
by: Guha, Subharup, et al.
Published: (2023)
by: Guha, Subharup, et al.
Published: (2023)
Semiparametric Double Reinforcement Learning with Applications to Long-Term Causal Inference
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
A Meta-Learning Approach to Bayesian Causal Discovery
by: Dhir, Anish, et al.
Published: (2024)
by: Dhir, Anish, et al.
Published: (2024)
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
by: Tran, Allen, et al.
Published: (2023)
by: Tran, Allen, et al.
Published: (2023)
The R Package WMAP: Tools for Causal Meta-Analysis by Integrating Multiple Observational Studies
by: Guha, Subharup, et al.
Published: (2025)
by: Guha, Subharup, et al.
Published: (2025)
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects
by: Fernández-Loría, Carlos, et al.
Published: (2025)
by: Fernández-Loría, Carlos, et al.
Published: (2025)
Risk-based decision making: estimands for sequential prediction under interventions
by: Luijken, Kim, et al.
Published: (2023)
by: Luijken, Kim, et al.
Published: (2023)
On the consistency of supervised learning with missing values
by: Josse, Julie, et al.
Published: (2019)
by: Josse, Julie, et al.
Published: (2019)
The risks of risk assessment: causal blind spots when using prediction models for treatment decisions
by: van Geloven, Nan, et al.
Published: (2024)
by: van Geloven, Nan, et al.
Published: (2024)
An introduction to R package `mvs`
by: van Loon, Wouter
Published: (2025)
by: van Loon, Wouter
Published: (2025)
Horseshoe Forests for High-Dimensional Causal Survival Analysis
by: Jacobs, Tijn, et al.
Published: (2025)
by: Jacobs, Tijn, et al.
Published: (2025)
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
by: Dhir, Anish, et al.
Published: (2025)
by: Dhir, Anish, et al.
Published: (2025)
Estimands and Their Implications for Evidence Synthesis for Oncology: A Simulation Study of Treatment Switching in Meta-Analysis
by: Metcalfe, Rebecca K., et al.
Published: (2024)
by: Metcalfe, Rebecca K., et al.
Published: (2024)
Foundations of Causal Discovery on Groups of Variables
by: Wahl, Jonas, et al.
Published: (2023)
by: Wahl, Jonas, et al.
Published: (2023)
Bayesian Causal Synthesis for Meta-Inference on Heterogeneous Treatment Effects
by: Sugasawa, Shonosuke, et al.
Published: (2023)
by: Sugasawa, Shonosuke, et al.
Published: (2023)
Hierarchical Causal Structure Learning
by: Hermes, Sjoerd, et al.
Published: (2025)
by: Hermes, Sjoerd, et al.
Published: (2025)
Hybrid Meta-learners for Estimating Heterogeneous Treatment Effects
by: Liang, Zhongyuan, et al.
Published: (2025)
by: Liang, Zhongyuan, et al.
Published: (2025)
Similar Items
-
A Unified Framework for the Transportability of Population-Level Causal Measures
by: Boughdiri, Ahmed, et al.
Published: (2025) -
Quantifying Treatment Effects: Estimating Risk Ratios in Causal Inference
by: Boughdiri, Ahmed, et al.
Published: (2024) -
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation
by: Khellaf, Rémi, et al.
Published: (2025) -
Risk ratio, odds ratio, risk difference... Which causal measure is easier to generalize?
by: Colnet, Bénédicte, et al.
Published: (2023) -
Reweighting the RCT for generalization: finite sample error and variable selection
by: Colnet, Bénédicte, et al.
Published: (2022)