Evaluating time-varying treatment effects in hybrid SMART-MRT designs
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Mengbing, Nahum-Shani, Inbal, Dempsey, Walter |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Optimal Adaptive SMART Designs with Binary Outcomes
by: Ghosh, Rik, et al.
Published: (2023)
by: Ghosh, Rik, et al.
Published: (2023)
Data integration methods for micro-randomized trials
by: Huch, Easton, et al.
Published: (2024)
by: Huch, Easton, et al.
Published: (2024)
A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
by: Abbott, Madeline R., et al.
Published: (2023)
by: Abbott, Madeline R., et al.
Published: (2023)
Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
by: Dziak, John J., et al.
Published: (2025)
by: Dziak, John J., et al.
Published: (2025)
Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
by: Abbott, Madeline R, et al.
Published: (2026)
by: Abbott, Madeline R, et al.
Published: (2026)
A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
by: Abbott, Madeline R., et al.
Published: (2024)
by: Abbott, Madeline R., et al.
Published: (2024)
Bayesian integration G-formula for platform SMART designs allowing for adding new treatments
by: Wang, Xinru, et al.
Published: (2026)
by: Wang, Xinru, et al.
Published: (2026)
Tree-Regularized Bayesian Latent Class Analysis for Improving Weakly Separated Dietary Pattern Subtyping in Small-Sized Subpopulations
by: Li, Mengbing, et al.
Published: (2023)
by: Li, Mengbing, et al.
Published: (2023)
A Bayesian framework for cost-effectiveness analysis with time-varying treatment decisions
by: Fernández-Morales, Esteban, et al.
Published: (2026)
by: Fernández-Morales, Esteban, et al.
Published: (2026)
Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history
by: Seya, Nodoka, et al.
Published: (2024)
by: Seya, Nodoka, et al.
Published: (2024)
Factors affecting power in stepped wedge trials when the treatment effect varies with time
by: Kenny, Avi, et al.
Published: (2025)
by: Kenny, Avi, et al.
Published: (2025)
Irregular measurement times in estimating time-varying treatment effects: Categorizing biases and comparing adjustment methods
by: Kant, Wouter M. R., et al.
Published: (2025)
by: Kant, Wouter M. R., et al.
Published: (2025)
Analysis of stepped wedge cluster randomized trials in the presence of a time-varying treatment effect
by: Kenny, Avi, et al.
Published: (2021)
by: Kenny, Avi, et al.
Published: (2021)
Analysis of Stepped-Wedge Cluster Randomized Trials when treatment effects vary by exposure time or calendar time
by: Lee, Kenneth M., et al.
Published: (2024)
by: Lee, Kenneth M., et al.
Published: (2024)
A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
by: Shi, Jieru, et al.
Published: (2023)
by: Shi, Jieru, et al.
Published: (2023)
Prediction Intervals for Individual Treatment Effects in a Multiple Decision Point Framework using Conformal Inference
by: Bose, Swaraj, et al.
Published: (2025)
by: Bose, Swaraj, et al.
Published: (2025)
On the limitations for causal inference in Cox models with time-varying treatment
by: Knudsen, Mark B., et al.
Published: (2025)
by: Knudsen, Mark B., et al.
Published: (2025)
Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
by: Yang, Youqi, et al.
Published: (2026)
by: Yang, Youqi, et al.
Published: (2026)
Robust Bayesian Inference of Causal Effects via Randomization Distributions
by: Huch, Easton, et al.
Published: (2025)
by: Huch, Easton, et al.
Published: (2025)
Improving prediction in M-estimation by integrating external information from heterogeneous populations
by: Dempsey, Walter, et al.
Published: (2025)
by: Dempsey, Walter, et al.
Published: (2025)
Time-varying treatment effect models in stepped-wedge cluster-randomized trials with multiple interventions
by: Chen, Zhe, et al.
Published: (2025)
by: Chen, Zhe, et al.
Published: (2025)
Time-smoothed inverse probability weighted estimation of effects of generalized time-varying treatment strategies on repeated outcomes truncated by death
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
Evaluation of the HeartSteps Online Sampling Algorithm
by: Meng, Xiang, et al.
Published: (2025)
by: Meng, Xiang, et al.
Published: (2025)
Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
by: Shi, Jieru, et al.
Published: (2023)
by: Shi, Jieru, et al.
Published: (2023)
Inference with Randomized Regression Trees
by: Bakshi, Soham, et al.
Published: (2024)
by: Bakshi, Soham, et al.
Published: (2024)
Characterizing quantile-varying covariate effects under the accelerated failure time model
by: Reeder, Harrison T., et al.
Published: (2023)
by: Reeder, Harrison T., et al.
Published: (2023)
Practical considerations when designing an online learning algorithm for an app-based mHealth intervention
by: Gonzalez, Rachel T, et al.
Published: (2025)
by: Gonzalez, Rachel T, et al.
Published: (2025)
Estimating time-varying exposure effects through continuous-time modelling in Mendelian randomization
by: Tian, Haodong, et al.
Published: (2024)
by: Tian, Haodong, et al.
Published: (2024)
Causal estimands and identification of time-varying effects in non-stationary time series from N-of-1 mobile device data
by: Cai, Xiaoxuan, et al.
Published: (2024)
by: Cai, Xiaoxuan, et al.
Published: (2024)
Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation
by: Ballerini, Veronica, et al.
Published: (2023)
by: Ballerini, Veronica, et al.
Published: (2023)
Multi-Study Causal Forest (MCF): A flexible framework for data borrowing in the presence of varying treatment effect heterogeneity
by: Venkatasubramaniam, Ashwini, et al.
Published: (2025)
by: Venkatasubramaniam, Ashwini, et al.
Published: (2025)
Selective Inference for Time-Varying Effect Moderation
by: Bakshi, Soham, et al.
Published: (2024)
by: Bakshi, Soham, et al.
Published: (2024)
A comparison of methods for designing hybrid type 2 cluster-randomized trials with continuous effectiveness and implementation endpoints
by: Owen, Melody, et al.
Published: (2025)
by: Owen, Melody, et al.
Published: (2025)
Adaptive clinical trial design with delayed treatment effects using elicited prior distributions
by: Salsbury, James, et al.
Published: (2025)
by: Salsbury, James, et al.
Published: (2025)
Non-parametric efficient estimation of marginal structural models with multi-valued time-varying treatments
by: Martin, Axel, et al.
Published: (2024)
by: Martin, Axel, et al.
Published: (2024)
A path-specific effect approach to mediation analysis with time-varying mediators and time-to-event outcomes accounting for competing risks
by: Domingo-Relloso, Arce, et al.
Published: (2024)
by: Domingo-Relloso, Arce, et al.
Published: (2024)
Assurance Methods for designing a clinical trial with a delayed treatment effect
by: Salsbury, James, et al.
Published: (2023)
by: Salsbury, James, et al.
Published: (2023)
Studying continuous, time-varying, and/or complex exposures using longitudinal modified treatment policies
by: Hoffman, Katherine L., et al.
Published: (2023)
by: Hoffman, Katherine L., et al.
Published: (2023)
Estimation and inference of average treatment effects under heterogeneous additive treatment effect model
by: Lu, Xin, et al.
Published: (2024)
by: Lu, Xin, et al.
Published: (2024)
Bayesian Variable Selection in Distributed Lag Models: A Focus on Binary Quantile and Count Data Regressions
by: Dempsey, Daniel, et al.
Published: (2024)
by: Dempsey, Daniel, et al.
Published: (2024)
Similar Items
-
Optimal Adaptive SMART Designs with Binary Outcomes
by: Ghosh, Rik, et al.
Published: (2023) -
Data integration methods for micro-randomized trials
by: Huch, Easton, et al.
Published: (2024) -
A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
by: Abbott, Madeline R., et al.
Published: (2023) -
Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
by: Dziak, John J., et al.
Published: (2025) -
Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
by: Abbott, Madeline R, et al.
Published: (2026)