Cover Image

Uncovering Treatment Effect Heterogeneity in Pragmatic Gerontology Trials

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Changjun, Allore, Heather, Harhay, Michael O., Li, Fan, Tong, Guangyu
Format:	Preprint
Published:	2025
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gerontologic Biostatistics 2.0: Developments over 10+ years in the age of data science
by: Chen, Chixiang, et al.
Published: (2024)

A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
by: Baumann, Mary Ryan, et al.
Published: (2025)

A Bayesian Machine Learning Approach for Estimating Heterogeneous Survivor Causal Effects: Applications to a Critical Care Trial
by: Chen, Xinyuan, et al.
Published: (2022)

Weighting methods for truncation by death in cluster-randomized trials
by: Isenberg, Dane, et al.
Published: (2024)

Design-based nested instrumental variable analysis
by: Chen, Zhe, et al.
Published: (2025)

A Workflow for Evaluating Regional Treatment Effect Heterogeneity in Multi-Regional Clinical Trials
by: Zhang, Cong, et al.
Published: (2026)

Identifying Treatment Effect Heterogeneity with Bayesian Hierarchical Adjustable Random Partition in Adaptive Enrichment Trials
by: Zhao, Xianglin, et al.
Published: (2025)

Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
by: Zhang, Jeffrey, et al.
Published: (2025)

Using Individualized Treatment Effects to Assess Treatment Effect Heterogeneity
by: Sechidis, Konstantinos, et al.
Published: (2025)

Treatment Effect Heterogeneity and Importance Measures for Multivariate Continuous Treatments
by: Shin, Heejun, et al.
Published: (2024)

Can discrete-time analyses be trusted for stepped wedge trials with continuous recruitment?
by: Wang, Hao, et al.
Published: (2025)

Statistical Inference for Heterogeneous Treatment Effect with Right-censored Data from Synthesizing Randomized Clinical Trials and Real-world Data
by: Mao, Guangcai, et al.
Published: (2025)

Assessing Heterogeneity of Treatment Effects
by: Kaji, Tetsuya, et al.
Published: (2023)

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
by: Imai, Kosuke, et al.
Published: (2022)

Statistical Design of Pragmatic Trials Using Electronic Health Record Data when Outcome Assessments are Uncontrolled and Irregular
by: Bobb, Jennifer F., et al.
Published: (2026)

Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis
by: Goplerud, Max, et al.
Published: (2022)

Shifting the Paradigm: Estimating Heterogeneous Treatment Effects in the Development of Walkable Cities Design
by: Zhu, Jie, et al.
Published: (2024)

Estimating Interpretable Heterogeneous Treatment Effect with Causal Subgroup Discovery in Survival Outcomes
by: Bo, Na, et al.
Published: (2024)

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration
by: Brantner, Carly L., et al.
Published: (2025)

Principal stratification with recurrent events truncated by a terminal event: A nested Bayesian nonparametric approach
by: Ohnishi, Yuki, et al.
Published: (2025)

Two-Phase Treatment with Noncompliance: Identifying the Cumulative Average Treatment Effect via Multisite Instrumental Variables
by: Hong, Guanglei, et al.
Published: (2025)

Heterogeneous Clinical Trial Outcomes via Multi-Output Gaussian Processes
by: Thomas, Owen, et al.
Published: (2024)

Causal-ICM: A Data Fusion Framework For Heterogeneous Treatment Effect Estimation With Multi-Task Gaussian Processes
by: Dimitriou, Evangelos, et al.
Published: (2024)

A Large Scale Heterogeneous Treatment Effect Estimation Framework and Its Applications of Users' Journey at Snap
by: Pan, Jing, et al.
Published: (2025)

A Clustering Approach for Basket Trials Based on Treatment Response Trajectories
by: Kojima, Masahiro, et al.
Published: (2025)

Exact and Conservative Inference for the Average Treatment Effect in Stratified Experiments with Binary Outcomes
by: Li, Jiaxun, et al.
Published: (2025)

Markov-switching State Space Models for Uncovering Musical Interpretation
by: McDonald, Daniel J., et al.
Published: (2019)

Randomization Tests for Distributions of Individual Treatment Effects via Combined Rank Statistics
by: Kim, David, et al.
Published: (2026)

Uncovering Heterogeneity of Solar Flare Mechanism With Mixture Models
by: Do, Bach Viet, et al.
Published: (2024)

Doubly robust estimation and sensitivity analysis with outcomes truncated by death in multi-arm clinical trials
by: Tong, Jiaqi, et al.
Published: (2024)

A Bayesian Treatment Selection Design for Phase II Randomised Cancer Clinical Trials
by: Komaki, Moka, et al.
Published: (2025)

Study Duration Prediction for Clinical Trials with Time-to-Event Endpoints Using Mixture Distributions Accounting for Heterogeneous Population
by: Zhang, Hong, et al.
Published: (2023)

Bayesian inference for cluster-randomized trials with multivariate outcomes subject to both truncation by death and missingness
by: Tong, Guangyu, et al.
Published: (2025)

Leveraging machine learning to estimate individualized treatment effects in cluster-randomized trials
by: Li, Changjun, et al.
Published: (2026)

Doubly Robust Targeted Estimation of Conditional Average Treatment Effects for Time-to-event Outcomes with Competing Risks
by: Li, Runjia, et al.
Published: (2024)

Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
by: Lee, JoonHo, et al.
Published: (2023)

Behavioral Carry-Over Effect and Power Consideration in Crossover Trials
by: Shi, Danni, et al.
Published: (2023)

On the Calibration of Bayesian Success Criteria and Operating Characteristics for Clinical Trials
by: Yang, Peng, et al.
Published: (2026)

Treatment Effect Learning Under Sequential Randomization
by: Friedberg, Rina, et al.
Published: (2025)

Estimating Heterogeneous Exposure Effects in the Case-Crossover Design using BART
by: Englert, Jacob, et al.
Published: (2023)