Distal Causal Excursion Effects: Modeling Long-Term Effects of Time-Varying Treatments in Micro-Randomized Trials
Fuente:
arXiv
Guardado en:
| Autor principal: | Qian, Tianchen |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes
por: Yu, Jiaxin, et al.
Publicado: (2024)
por: Yu, Jiaxin, et al.
Publicado: (2024)
Robust Estimation of Moderated Causal Excursion Odds Ratio in Micro-Randomized Trials
por: Yu, Jiaxin, et al.
Publicado: (2025)
por: Yu, Jiaxin, et al.
Publicado: (2025)
Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation
por: Lin, Jeremy, et al.
Publicado: (2025)
por: Lin, Jeremy, et al.
Publicado: (2025)
Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
por: Yu, Jiaxin, et al.
Publicado: (2024)
por: Yu, Jiaxin, et al.
Publicado: (2024)
Efficient and Globally Robust Causal Excursion Effect Estimation
por: Cheng, Zhaoxi, et al.
Publicado: (2023)
por: Cheng, Zhaoxi, et al.
Publicado: (2023)
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
por: Shi, Jieru, et al.
Publicado: (2023)
por: Shi, Jieru, et al.
Publicado: (2023)
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
por: Tran, Allen, et al.
Publicado: (2023)
por: Tran, Allen, et al.
Publicado: (2023)
A Randomization-Based Method for Evaluating Time-Varying Treatment Effects
por: Lee, Sangjin, et al.
Publicado: (2024)
por: Lee, Sangjin, et al.
Publicado: (2024)
Dynamic Causal Mediation Analysis for Intensive Longitudinal Data
por: Qian, Tianchen
Publicado: (2025)
por: Qian, Tianchen
Publicado: (2025)
A Milestone-Based Framework for Characterizing Time-Varying Treatment Effects in Immunotherapy Trials
por: Tai, Yi-Cheng, et al.
Publicado: (2026)
por: Tai, Yi-Cheng, et al.
Publicado: (2026)
Estimating Effects of Long-Term Treatments
por: Huang, Shan, et al.
Publicado: (2023)
por: Huang, Shan, et al.
Publicado: (2023)
A Statistical Framework for Understanding Causal Effects that Vary by Treatment Initiation Time in EHR-based Studies
por: Benz, Luke, et al.
Publicado: (2025)
por: Benz, Luke, et al.
Publicado: (2025)
Adaptive Orthogonalization for Stable Estimation of the Effects of Time-Varying Treatments
por: Li, Yige, et al.
Publicado: (2025)
por: Li, Yige, et al.
Publicado: (2025)
Advancing Stepped Wedge Cluster Randomized Trials Analysis: Bayesian Hierarchical Penalized Spline Models for Immediate and Time-Varying Intervention Effects
por: Wu, Danni, et al.
Publicado: (2024)
por: Wu, Danni, et al.
Publicado: (2024)
Fixed-Effects Models for Causal Inference in Longitudinal Cluster Randomized and Quasi-Experimental Trials
por: Lee, Kenneth M., et al.
Publicado: (2026)
por: Lee, Kenneth M., et al.
Publicado: (2026)
Incremental Causal Effect for Time to Treatment Initialization
por: Ying, Andrew, et al.
Publicado: (2024)
por: Ying, Andrew, et al.
Publicado: (2024)
Estimating Causal Effects for Binary Outcomes Using Per-Decision Inverse Probability Weighting
por: Bao, Yihan, et al.
Publicado: (2023)
por: Bao, Yihan, et al.
Publicado: (2023)
Privacy-preserving Quantile Treatment Effect Estimation for Randomized Controlled Trials
por: Yao, Leon, et al.
Publicado: (2024)
por: Yao, Leon, et al.
Publicado: (2024)
Complier General Causal Effect in Randomized Controlled Trials with One-Sided Noncompliance
por: Tang, Yin, et al.
Publicado: (2025)
por: Tang, Yin, et al.
Publicado: (2025)
Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments
por: Usami, Satoshi
Publicado: (2020)
por: Usami, Satoshi
Publicado: (2020)
Efficient Inference for Incremental Causal Effects of Time to Treatment
por: Zhao, Zhichen, et al.
Publicado: (2026)
por: Zhao, Zhichen, et al.
Publicado: (2026)
Semiparametric Weighted Spline Regression (SWSR) in Confirmatory Clinical Trials with Time-Varying Placebo Effects
por: Zhan, Tianyu, et al.
Publicado: (2025)
por: Zhan, Tianyu, et al.
Publicado: (2025)
Using Recursive Partitioning to Find and Estimate Heterogenous Treatment Effects In Randomized Clinical Trials
por: Berk, Richard A., et al.
Publicado: (2018)
por: Berk, Richard A., et al.
Publicado: (2018)
From Estimands to Robust Inference of Treatment Effects in Platform Trials
por: Qian, Yuhan, et al.
Publicado: (2024)
por: Qian, Yuhan, et al.
Publicado: (2024)
Considerations for Estimating Causal Effects of Informatively Timed Treatments
por: Oganisian, Arman
Publicado: (2025)
por: Oganisian, Arman
Publicado: (2025)
Causal-DRF: Conditional Kernel Treatment Effect Estimation using Distributional Random Forest
por: Näf, Jeffrey, et al.
Publicado: (2024)
por: Näf, Jeffrey, et al.
Publicado: (2024)
Time-Varying Causal Survival Learning
por: Meng, Xiang, et al.
Publicado: (2025)
por: Meng, Xiang, et al.
Publicado: (2025)
Doubly Robust Estimation of Treatment Effects in Staggered Difference-in-Differences with Time-Varying Covariates
por: Deng, Yuhao, et al.
Publicado: (2026)
por: Deng, Yuhao, et al.
Publicado: (2026)
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
por: Shi, Jieru, et al.
Publicado: (2023)
por: Shi, Jieru, et al.
Publicado: (2023)
Intra-Class Correlation Coefficient Ignorable Clustered Randomized Trials for Detecting Treatment Effect Heterogeneity
por: Yang, Chen, et al.
Publicado: (2025)
por: Yang, Chen, et al.
Publicado: (2025)
The Proximal Surrogate Index: Long-Term Treatment Effects under Unobserved Confounding
por: Hung, Ting-Chih, et al.
Publicado: (2026)
por: Hung, Ting-Chih, et al.
Publicado: (2026)
Harmonized Estimation of Subgroup-Specific Treatment Effects in Randomized Trials: The Use of External Control Data
por: Schwartz, Daniel, et al.
Publicado: (2023)
por: Schwartz, Daniel, et al.
Publicado: (2023)
Modeling Time-Varying Random Objects and Dynamic Networks
por: Dubey, Paromita, et al.
Publicado: (2021)
por: Dubey, Paromita, et al.
Publicado: (2021)
Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
por: Abbott, Madeline R, et al.
Publicado: (2026)
por: Abbott, Madeline R, et al.
Publicado: (2026)
On Efficient Adjustment for Micro Causal Effects in Summary Causal Graphs
por: Belciug, Isabela, et al.
Publicado: (2025)
por: Belciug, Isabela, et al.
Publicado: (2025)
Regression Adjustment for Estimating Distributional Treatment Effects in Randomized Controlled Trials
por: Oka, Tatsushi, et al.
Publicado: (2024)
por: Oka, Tatsushi, et al.
Publicado: (2024)
Inference for Cumulative Incidences and Treatment Effects in Randomized Controlled Trials with Time-to-Event Outcomes under ICH E9 (R1)
por: Deng, Yuhao, et al.
Publicado: (2024)
por: Deng, Yuhao, et al.
Publicado: (2024)
Causal Effect of Functional Treatment
por: Tan, Ruoxu, et al.
Publicado: (2022)
por: Tan, Ruoxu, et al.
Publicado: (2022)
Heterogeneous Treatment Effects and Causal Mechanisms
por: Fu, Jiawei, et al.
Publicado: (2024)
por: Fu, Jiawei, et al.
Publicado: (2024)
Identification of Long-Term Treatment Effects via Temporal Links, Observational, and Experimental Data
por: Obradović, Filip
Publicado: (2024)
por: Obradović, Filip
Publicado: (2024)
Ejemplares similares
-
Doubly Robust Estimation of Causal Excursion Effects in Micro-Randomized Trials with Missing Longitudinal Outcomes
por: Yu, Jiaxin, et al.
Publicado: (2024) -
Robust Estimation of Moderated Causal Excursion Odds Ratio in Micro-Randomized Trials
por: Yu, Jiaxin, et al.
Publicado: (2025) -
Micro-randomized Trials with Categorical Treatments: Causal Effect Estimation and Sample Size Calculation
por: Lin, Jeremy, et al.
Publicado: (2025) -
Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
por: Yu, Jiaxin, et al.
Publicado: (2024) -
Efficient and Globally Robust Causal Excursion Effect Estimation
por: Cheng, Zhaoxi, et al.
Publicado: (2023)