Cluster‐Level Analyses to Estimate a Risk Difference in a Cluster Randomized Trial With Confounding Individual‐Level Covariates: A Simulation Study
Fuente:
Wiley Open Access
Guardado en:
| Autores principales: | Jules Antoine Pereira Macedo, Bruno Giraudeau |
|---|---|
| Formato: | Artículo Open Access |
| Publicado: |
Wiley
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout
por: Analissa Avila, et al.
Publicado: (2025)
por: Analissa Avila, et al.
Publicado: (2025)
Using Propensity Score Weighting With Clustered Data When the Treatment Is Applied at the Level of the Cluster and Outcomes Are Assessed at the Level of the Individual: The Observational Analog of Cluster Randomization Trials
por: Peter C. Austin
Publicado: (2026)
por: Peter C. Austin
Publicado: (2026)
Doubly Robust Estimators of the Restricted Mean Time in Favor Estimands in Individual‐ and Cluster‐Randomized Trials
por: Xi Fang, et al.
Publicado: (2026)
por: Xi Fang, et al.
Publicado: (2026)
Model‐Robust Standardization in Cluster‐Randomized Trials
por: Fan Li, et al.
Publicado: (2025)
por: Fan Li, et al.
Publicado: (2025)
Bayesian Response‐Adaptive Randomization for Cluster Randomized Controlled Trials
por: Yunyi Liu, et al.
Publicado: (2026)
por: Yunyi Liu, et al.
Publicado: (2026)
Correction to “Model‐Robust Standardization in Cluster‐Randomized Trials”
Publicado: (2026)
Publicado: (2026)
On Anticipation Effect in Stepped Wedge Cluster Randomized Trials
por: Hao Wang, et al.
Publicado: (2026)
por: Hao Wang, et al.
Publicado: (2026)
Designing Stepped Wedge Cluster Randomized Trials With a Baseline Measurement of the Outcome
por: Kendra Davis‐Plourde, et al.
Publicado: (2025)
por: Kendra Davis‐Plourde, et al.
Publicado: (2025)
Modeling the Role of Baseline Risk and Additional Study‐Level Covariates in Meta‐Analysis of Treatment Effects
por: Phuc T. Tran, et al.
Publicado: (2025)
por: Phuc T. Tran, et al.
Publicado: (2025)
Preference‐Informed Cluster Randomized Design for Pragmatic Clinical Trials
por: Yuwei Cheng, et al.
Publicado: (2026)
por: Yuwei Cheng, et al.
Publicado: (2026)
Analysis of Stepped‐Wedge Cluster Randomized Trials: A Tutorial Using Marginal Models
por: Elizabeth L. Turner, et al.
Publicado: (2026)
por: Elizabeth L. Turner, et al.
Publicado: (2026)
Modelling and Predicting Population‐Level Growth With Individual‐Level Information
por: Tuuli Kauppala, et al.
Publicado: (2026)
por: Tuuli Kauppala, et al.
Publicado: (2026)
Bayesian Estimation of Hierarchical Linear Models From Incomplete Data: Cluster‐Level Interaction Effects and Small Sample Sizes
por: Dongho Shin, et al.
Publicado: (2025)
por: Dongho Shin, et al.
Publicado: (2025)
Analysis of Cohort Stepped Wedge Cluster‐Randomized Trials With Nonignorable Dropout via Joint Modeling
por: Alessandro Gasparini, et al.
Publicado: (2025)
por: Alessandro Gasparini, et al.
Publicado: (2025)
Time‐Varying Treatment Effect Models in Stepped‐Wedge Cluster‐Randomized Trials With Multiple Interventions
por: Zhe Chen, et al.
Publicado: (2026)
por: Zhe Chen, et al.
Publicado: (2026)
Sequential Monitoring of Covariate‐Adaptive Randomized Clinical Trials With Non‐Parametric Approaches
por: Xiaotian Chen, et al.
Publicado: (2025)
por: Xiaotian Chen, et al.
Publicado: (2025)
Nonparametric Estimation of the Potential Impact Fraction and the Population Attributable Fraction With Individual‐Level and Aggregated Data
por: Colleen E. Chan, et al.
Publicado: (2025)
por: Colleen E. Chan, et al.
Publicado: (2025)
Dynamic Borrowing From Historical Controls via the Synthetic Prior With Covariates in Randomized Clinical Trials
por: Daniel E. Schwartz, et al.
Publicado: (2026)
por: Daniel E. Schwartz, et al.
Publicado: (2026)
A Saddlepoint Framework for Accurate Inference in Multicenter Clinical Trials With Imbalanced Clusters
por: Haidy A. Newer
Publicado: (2026)
por: Haidy A. Newer
Publicado: (2026)
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies
por: Melody A. Owen, et al.
Publicado: (2025)
por: Melody A. Owen, et al.
Publicado: (2025)
Spatial Individual‐Level Models for Transmission Dynamics of Seasonal Infectious Diseases
por: Amin Abed, et al.
Publicado: (2026)
por: Amin Abed, et al.
Publicado: (2026)
Regression Adjustment in Covariate‐Adaptive Randomized Experiments With Missing Covariates
por: Wanjia Fu, et al.
Publicado: (2025)
por: Wanjia Fu, et al.
Publicado: (2025)
A Comparison of Statistical Methods for Time‐To‐Event Analyses in Randomized Controlled Trials Under Non‐Proportional Hazards
por: Florian Klinglmüller, et al.
Publicado: (2025)
por: Florian Klinglmüller, et al.
Publicado: (2025)
Logistic Mixed‐Effects Model Analysis With Pseudo‐Observations for Estimating Risk Ratios in Clustered Binary Data Analysis
por: Hisashi Noma, et al.
Publicado: (2025)
por: Hisashi Noma, et al.
Publicado: (2025)
Optimal Allocation of Observations in Stepped‐Wedge and Other Cluster Studies With Correlated Cluster‐Period Effects
por: Alan J. Girling, et al.
Publicado: (2025)
por: Alan J. Girling, et al.
Publicado: (2025)
Semiparametric Estimation of Relative Causal Effects in Randomized Controlled Trials With Noncompliance
por: Wenli Liu, et al.
Publicado: (2025)
por: Wenli Liu, et al.
Publicado: (2025)
Bayesian Sensitivity Analysis for Causal Estimation With Time‐Varying Unmeasured Confounding
por: Yushu Zou, et al.
Publicado: (2026)
por: Yushu Zou, et al.
Publicado: (2026)
A Bayesian Approach to Estimate Causal Average Treatment Effects Under Unmeasured Confounding
por: Jinghong Zeng
Publicado: (2026)
por: Jinghong Zeng
Publicado: (2026)
Adaptive Designs in Trials With Time‐to‐Event Endpoints and Covariate Adjustment
por: Daniel Backenroth, et al.
Publicado: (2026)
por: Daniel Backenroth, et al.
Publicado: (2026)
On Inclusion of Covariates in Model Based Dose Finding Clinical Trial Designs
por: Adrien Ollier, et al.
Publicado: (2025)
por: Adrien Ollier, et al.
Publicado: (2025)
Network Meta‐Analysis With Individual Participant‐Level Data of Time‐to‐Event Outcomes Using Cox Regression
por: Kaiyuan Hua, et al.
Publicado: (2025)
por: Kaiyuan Hua, et al.
Publicado: (2025)
Confidence Set for the Cluster of a Spatial Scan Statistic
por: Junho Lee
Publicado: (2026)
por: Junho Lee
Publicado: (2026)
Dose Individualization for Phase I Cancer Trials With Broadened Eligibility
por: Rebecca B. Silva, et al.
Publicado: (2024)
por: Rebecca B. Silva, et al.
Publicado: (2024)
Randomized Interventional Effects in Semicompeting Risks, With Application to a Hematopoietic Cell Transplantation Study
por: Yuhao Deng, et al.
Publicado: (2026)
por: Yuhao Deng, et al.
Publicado: (2026)
Dirichlet Distribution Parameter Estimation With Applications in Microbiome Analyses
por: Daniel T. Fuller, et al.
Publicado: (2026)
por: Daniel T. Fuller, et al.
Publicado: (2026)
Dynamic Borrowing With a Bias‐Tolerance Cap in Augmented Randomized Controlled Trials
por: Kota Sawada, et al.
Publicado: (2026)
por: Kota Sawada, et al.
Publicado: (2026)
A Framework for Generating Realistic Synthetic Tabular Data in a Randomized Controlled Trial Setting
por: Niki Z. Petrakos, et al.
Publicado: (2025)
por: Niki Z. Petrakos, et al.
Publicado: (2025)
Correction to “A Comparison of Methods to Adjust Survival Curves for Confounders”
Publicado: (2025)
Publicado: (2025)
Natural Effects in the Presence of an Intermediate Confounder: Evaluation of Pragmatic Estimation Strategies With an Emphasis on the Relationship Between Natural and Interventional Effects
por: Jesse Gervais, et al.
Publicado: (2025)
por: Jesse Gervais, et al.
Publicado: (2025)
Negative Control Outcome Adjustment in Early‐Phase Randomized Trials: Estimating Vaccine Effects on Immune Responses in HIV Exposed Uninfected Infants
por: Ethan Ashby, et al.
Publicado: (2025)
por: Ethan Ashby, et al.
Publicado: (2025)
Ejemplares similares
-
Handling Missing Outcome Data in Cluster Randomized Trials With Both Individual‐ and Cluster‐Level Dropout
por: Analissa Avila, et al.
Publicado: (2025) -
Using Propensity Score Weighting With Clustered Data When the Treatment Is Applied at the Level of the Cluster and Outcomes Are Assessed at the Level of the Individual: The Observational Analog of Cluster Randomization Trials
por: Peter C. Austin
Publicado: (2026) -
Doubly Robust Estimators of the Restricted Mean Time in Favor Estimands in Individual‐ and Cluster‐Randomized Trials
por: Xi Fang, et al.
Publicado: (2026) -
Model‐Robust Standardization in Cluster‐Randomized Trials
por: Fan Li, et al.
Publicado: (2025) -
Bayesian Response‐Adaptive Randomization for Cluster Randomized Controlled Trials
por: Yunyi Liu, et al.
Publicado: (2026)