Buchumschlag

Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Abbott, Madeline R, Taylor, Jeremy M G, Nahum-Shani, Inbal, Potter, Lindsey N, Wetter, David W, Lam, Cho Y, Dempsey, Walter
Format:	Preprint
Veröffentlicht:	2026
Schlagworte:	Methodology
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
von: Abbott, Madeline R., et al.
Veröffentlicht: (2023)

Data integration methods for micro-randomized trials
von: Huch, Easton, et al.
Veröffentlicht: (2024)

A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
von: Abbott, Madeline R., et al.
Veröffentlicht: (2024)

Evaluating time-varying treatment effects in hybrid SMART-MRT designs
von: Li, Mengbing, et al.
Veröffentlicht: (2026)

A latent variable approach to jointly modeling longitudinal and cumulative event data using a weighted two‐stage method
von: Madeline R. Abbott, et al.
Veröffentlicht: (2024)

Optimal Adaptive SMART Designs with Binary Outcomes
von: Ghosh, Rik, et al.
Veröffentlicht: (2023)

Incorporating Auxiliary Variables to Improve the Efficiency of Time-Varying Treatment Effect Estimation
von: Shi, Jieru, et al.
Veröffentlicht: (2023)

Constructing Evidence-Based Tailoring Variables for Adaptive Interventions
von: Dziak, John J., et al.
Veröffentlicht: (2025)

A Meta-Learning Method for Estimation of Causal Excursion Effects to Assess Time-Varying Moderation
von: Shi, Jieru, et al.
Veröffentlicht: (2023)

Improving prediction in M-estimation by integrating external information from heterogeneous populations
von: Dempsey, Walter, et al.
Veröffentlicht: (2025)

Practical considerations when designing an online learning algorithm for an app-based mHealth intervention
von: Gonzalez, Rachel T, et al.
Veröffentlicht: (2025)

Data Integration for Estimating Subgroup-Specific Conditional Average Treatment Effects (CATEs) Using Coarsened External Information in Randomized Trials
von: Yang, Youqi, et al.
Veröffentlicht: (2026)

Estimating Effects of Longitudinal Modified Treatment Policies (LMTPs) on Rates of Change in Health Outcomes
von: Shahu, Anja, et al.
Veröffentlicht: (2025)

Selective Inference for Time-Varying Effect Moderation
von: Bakshi, Soham, et al.
Veröffentlicht: (2024)

Joint Dynamic Models and Statistical Inference for Recurrent Competing Risks, Longitudinal Marker, and Health Status
von: Tong, Lili, et al.
Veröffentlicht: (2021)

Prediction Intervals for Individual Treatment Effects in a Multiple Decision Point Framework using Conformal Inference
von: Bose, Swaraj, et al.
Veröffentlicht: (2025)

Analyzing Zero-Truncated Recurrent Events by Stratified Regression with Time-Varying Coefficients
von: Chen, Anqi A., et al.
Veröffentlicht: (2025)

TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
von: Zhang, Zhiyue, et al.
Veröffentlicht: (2024)

Bayesian Semiparametric Joint Dynamic Model for Multitype Recurrent Events and a Terminal Event
von: Acharjee, Mithun Kumar, et al.
Veröffentlicht: (2025)

Semiparametric Joint Modeling to Estimate the Treatment Effect on a Longitudinal Surrogate with Application to Chronic Kidney Disease Trials
von: Wang, Xuan, et al.
Veröffentlicht: (2024)

Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
von: Yu, Jiaxin, et al.
Veröffentlicht: (2024)

Bayesian Semiparametric Joint Modeling of Gap-Time Distribution for Multitype Recurrent Events and a Terminal Event
von: Acharjee, Mithun Kumar, et al.
Veröffentlicht: (2025)

Within-Person Variability Score-Based Causal Inference: A Two-Step Estimation for Joint Effects of Time-Varying Treatments
von: Usami, Satoshi
Veröffentlicht: (2020)

Adaptive Orthogonalization for Stable Estimation of the Effects of Time-Varying Treatments
von: Li, Yige, et al.
Veröffentlicht: (2025)

Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
von: Rustand, Denis, et al.
Veröffentlicht: (2024)

Robust Bayesian Inference of Causal Effects via Randomization Distributions
von: Huch, Easton, et al.
Veröffentlicht: (2025)

Joint Estimation of Marginal and Heterogeneous Treatment Effects
von: Wuethrich, Leticia, et al.
Veröffentlicht: (2026)

Backward Joint Model for the Joint Dynamic Prediction of Time-to-Event and Longitudinal Data: Basic Formulation and New Developments
von: Li, Wenhao, et al.
Veröffentlicht: (2023)

Uncertainty Quantification and Confidence Intervals for Naive Rare-Event Estimators
von: Bai, Yuanlu, et al.
Veröffentlicht: (2023)

Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
von: Ortholand, Juliette, et al.
Veröffentlicht: (2026)

"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data"
von: Rappl, Anja, et al.
Veröffentlicht: (2023)

Goodness-of-Fit Checks for Joint Models
von: Rizopoulos, Dimitris, et al.
Veröffentlicht: (2026)

Scalable Counterfactual Risk Estimation for Rare Events in Longitudinal Data
von: Yin, Xiaohui, et al.
Veröffentlicht: (2026)

A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
von: Santos Jr., Silvaneo V. dos, et al.
Veröffentlicht: (2026)

Feed-Forward Panel Estimation for Discrete-time Survival Analysis of Recurrent Events with Frailty
von: Bateni, Borna, et al.
Veröffentlicht: (2024)

A Joint Model of Longitudinal CVD Risk Factors, Medication Use, and Time-to-Terminal Events
von: Aghabazaz, Zeynab, et al.
Veröffentlicht: (2025)

Multi-Layer Backward Joint Model for Dynamic Prediction of Clinical Events with Multivariate Longitudinal Predictors of Mixed Types
von: Li, Wenhao, et al.
Veröffentlicht: (2025)

Heterogeneous Quantile Treatment Effect Estimation for Longitudinal Data with High-Dimensional Confounding
von: Qiu, Zhixin, et al.
Veröffentlicht: (2025)

Model-Assisted Bayesian Estimators of Transparent Population Level Summary Measures for Ordinal Outcomes in Randomized Controlled Trials
von: Turner, Lindsey E., et al.
Veröffentlicht: (2025)

Inference with Randomized Regression Trees
von: Bakshi, Soham, et al.
Veröffentlicht: (2024)