Multi-Study Causal Forest (MCF): A flexible framework for data borrowing in the presence of varying treatment effect heterogeneity
Fuente:
arXiv
Guardado en:
| Autores principales: | Venkatasubramaniam, Ashwini, Wolfson, Julian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Unified Framework for Causal Estimand Selection
por: Barnard, Martha, et al.
Publicado: (2024)
por: Barnard, Martha, et al.
Publicado: (2024)
Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations
por: Barnard, Martha, et al.
Publicado: (2025)
por: Barnard, Martha, et al.
Publicado: (2025)
A Bayesian framework for cost-effectiveness analysis with time-varying treatment decisions
por: Fernández-Morales, Esteban, et al.
Publicado: (2026)
por: Fernández-Morales, Esteban, et al.
Publicado: (2026)
Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
por: Kenny, Avi, et al.
Publicado: (2021)
por: Kenny, Avi, et al.
Publicado: (2021)
A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
por: Han, Linxi, et al.
Publicado: (2025)
por: Han, Linxi, et al.
Publicado: (2025)
BayesFBHborrow: An R Package for Bayesian borrowing for time-to-event data from a flexible baseline hazard
por: Axillus, Sophia, et al.
Publicado: (2024)
por: Axillus, Sophia, et al.
Publicado: (2024)
Bayesian network-guided sparse regression with flexible varying effects
por: Ren, Yangfan, et al.
Publicado: (2024)
por: Ren, Yangfan, et al.
Publicado: (2024)
Variable importance measures for heterogeneous treatment effects
por: Hines, Oliver J., et al.
Publicado: (2022)
por: Hines, Oliver J., et al.
Publicado: (2022)
Trustworthy assessment of heterogeneous treatment effect estimator
por: Gao, Zijun
Publicado: (2024)
por: Gao, Zijun
Publicado: (2024)
Adjacency Matrix Decomposition Clustering for Human Activity Data
por: Barnard, Martha, et al.
Publicado: (2024)
por: Barnard, Martha, et al.
Publicado: (2024)
Nonparametric Bayesian approach for dynamic borrowing of historical control data
por: Ohigashi, Tomohiro, et al.
Publicado: (2024)
por: Ohigashi, Tomohiro, et al.
Publicado: (2024)
Estimation and inference of average treatment effects under heterogeneous additive treatment effect model
por: Lu, Xin, et al.
Publicado: (2024)
por: Lu, Xin, et al.
Publicado: (2024)
Modern approaches for evaluating treatment effect heterogeneity from clinical trials and observational data
por: Lipkovich, Ilya, et al.
Publicado: (2023)
por: Lipkovich, Ilya, et al.
Publicado: (2023)
A pseudo-outcome-based framework to analyze treatment heterogeneity in survival data using electronic health records
por: Bo, Na, et al.
Publicado: (2024)
por: Bo, Na, et al.
Publicado: (2024)
Two-stage least squares with treatment-covariate interactions for treatment effect heterogeneity
por: Zhao, Anqi, et al.
Publicado: (2025)
por: Zhao, Anqi, et al.
Publicado: (2025)
Counterfactual fairness for small subgroups
por: Wastvedt, Solvejg, et al.
Publicado: (2023)
por: Wastvedt, Solvejg, et al.
Publicado: (2023)
A causal fused lasso for interpretable heterogeneous treatment effects estimation
por: Padilla, Oscar Hernan Madrid, et al.
Publicado: (2021)
por: Padilla, Oscar Hernan Madrid, et al.
Publicado: (2021)
Variable importance measures for heterogeneous treatment effects with survival outcome
por: Ziersen, Simon Christoffer, et al.
Publicado: (2024)
por: Ziersen, Simon Christoffer, et al.
Publicado: (2024)
Data fusion methods for the heterogeneity of treatment effect and confounding function
por: Yang, Shu, et al.
Publicado: (2020)
por: Yang, Shu, et al.
Publicado: (2020)
Improving randomized controlled trial analysis via data-adaptive borrowing
por: Gao, Chenyin, et al.
Publicado: (2023)
por: Gao, Chenyin, et al.
Publicado: (2023)
Evaluating time-varying treatment effects in hybrid SMART-MRT designs
por: Li, Mengbing, et al.
Publicado: (2026)
por: Li, Mengbing, et al.
Publicado: (2026)
Robust estimation of heterogeneous treatment effects in randomized trials leveraging external data
por: Karlsson, Rickard, et al.
Publicado: (2025)
por: Karlsson, Rickard, et al.
Publicado: (2025)
Multinomial thresholded LASSO for interpretable dimension reduction of human activity sequences
por: Huang, Zuofu, et al.
Publicado: (2025)
por: Huang, Zuofu, et al.
Publicado: (2025)
Estimating effect thresholds and beyond: A flexible framework for multivariate alert detection
por: Ameis, Lucia, et al.
Publicado: (2026)
por: Ameis, Lucia, et al.
Publicado: (2026)
Distilling heterogeneous treatment effects: Stable subgroup estimation in causal inference
por: Huang, Melody, et al.
Publicado: (2025)
por: Huang, Melody, et al.
Publicado: (2025)
Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history
por: Seya, Nodoka, et al.
Publicado: (2024)
por: Seya, Nodoka, et al.
Publicado: (2024)
Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data
por: Cai, Xiaoxuan, et al.
Publicado: (2024)
por: Cai, Xiaoxuan, et al.
Publicado: (2024)
Nonparametric estimation of the total treatment effect with multiple outcomes in the presence of terminal events
por: Gronsbell, Jessica, et al.
Publicado: (2024)
por: Gronsbell, Jessica, et al.
Publicado: (2024)
Statistical inference of heterogeneous treatment effects using semiparametric single-index model
por: Yu, Jichang, et al.
Publicado: (2025)
por: Yu, Jichang, et al.
Publicado: (2025)
Factors affecting power in stepped wedge trials when the treatment effect varies with time
por: Kenny, Avi, et al.
Publicado: (2025)
por: Kenny, Avi, et al.
Publicado: (2025)
Finding network effect of randomized treatment under weak assumptions for any outcome and any effect heterogeneity
por: Lee, Myoung-jae
Publicado: (2025)
por: Lee, Myoung-jae
Publicado: (2025)
A nonparametric framework for treatment effect modifier discovery in high dimensions
por: Boileau, Philippe, et al.
Publicado: (2023)
por: Boileau, Philippe, et al.
Publicado: (2023)
Semi-supervised inference for treatment heterogeneity
por: Anniwaer, Yilizhati, et al.
Publicado: (2025)
por: Anniwaer, Yilizhati, et al.
Publicado: (2025)
Estimating heterogeneous treatment effects by W-MCM based on Robust reduced rank regression
por: Hieda, Ryoma, et al.
Publicado: (2024)
por: Hieda, Ryoma, et al.
Publicado: (2024)
Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
por: Chen, Zhe, et al.
Publicado: (2025)
por: Chen, Zhe, et al.
Publicado: (2025)
Comment on "Generic machine learning inference on heterogeneous treatment effects in randomized experiments."
por: Imai, Kosuke, et al.
Publicado: (2025)
por: Imai, Kosuke, et al.
Publicado: (2025)
A structural nested rate model for estimating the effects of time-varying exposure on recurrent event outcomes in the presence of death
por: Mork, Daniel, et al.
Publicado: (2025)
por: Mork, Daniel, et al.
Publicado: (2025)
Irregular measurement times in estimating time-varying treatment effects: Categorizing biases and comparing adjustment methods
por: Kant, Wouter M. R., et al.
Publicado: (2025)
por: Kant, Wouter M. R., et al.
Publicado: (2025)
Nonparametric priors with full-range borrowing of information
por: Ascolani, Filippo, et al.
Publicado: (2023)
por: Ascolani, Filippo, et al.
Publicado: (2023)
Estimation of treatment effects in presence of differential use of post-randomization concomitant medication with time-to-event outcomes
por: Rytgaard, Helene C. W., et al.
Publicado: (2026)
por: Rytgaard, Helene C. W., et al.
Publicado: (2026)
Ejemplares similares
-
A Unified Framework for Causal Estimand Selection
por: Barnard, Martha, et al.
Publicado: (2024) -
Partially Retargeted Balancing Weights for Causal Effect Estimation Under Positivity Violations
por: Barnard, Martha, et al.
Publicado: (2025) -
A Bayesian framework for cost-effectiveness analysis with time-varying treatment decisions
por: Fernández-Morales, Esteban, et al.
Publicado: (2026) -
Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
por: Kenny, Avi, et al.
Publicado: (2021) -
A Bayesian model-free dose-finding approach in Phase II clinical trials with the flexibility of historical borrowing
por: Han, Linxi, et al.
Publicado: (2025)