Exposure Measurement Error Correction in Longitudinal Studies With Discrete Outcomes
Fuente:
Wiley Open Access
Guardado en:
| Autores principales: | Ce Yang, Ning Zhang, Jiaxuan Li, Unnati V. Mehta, Jaime E. Hart, Donna L. Spiegelman, Molin Wang |
|---|---|
| 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
Causal Covariate Selection for the Regression Calibration Method for Exposure Measurement Error Bias Correction
por: Wenze Tang, et al.
Publicado: (2026)
por: Wenze Tang, et al.
Publicado: (2026)
Exposure measurement error correction in longitudinal studies with discrete outcomes
por: Yang, Ce, et al.
Publicado: (2025)
por: Yang, Ce, et al.
Publicado: (2025)
Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
por: Ge, Lin, et al.
Publicado: (2024)
por: Ge, Lin, et al.
Publicado: (2024)
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)
Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
por: Tang, Wenze, et al.
Publicado: (2023)
por: Tang, Wenze, et al.
Publicado: (2023)
Covariate Balancing With Measurement Error
por: Xialing Wen, et al.
Publicado: (2025)
por: Xialing Wen, 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)
Single‐Index Measurement Error Jump Regression Model in Alzheimer's Disease Studies
por: Yan‐Yong Zhao, et al.
Publicado: (2025)
por: Yan‐Yong Zhao, et al.
Publicado: (2025)
Weighting estimation in the cause‐specific Cox regression with partially missing causes of failure
por: Jooyoung Lee, et al.
Publicado: (2024)
por: Jooyoung Lee, et al.
Publicado: (2024)
Longitudinal Extension of the Win Odds for Ordinal Repeated Measurements
por: Yongxi Long, et al.
Publicado: (2026)
por: Yongxi Long, et al.
Publicado: (2026)
Dynamic Factor Analysis for Sparse and Irregular Longitudinal Data: An Application to Metabolite Measurements in a COVID‐19 Study
por: Jiachen Cai, et al.
Publicado: (2026)
por: Jiachen Cai, et al.
Publicado: (2026)
Estimating Effects of Longitudinal Modified Treatment Policies ( LMTPs ) on Rates of Change in Health Outcomes
por: Anja Shahu, et al.
Publicado: (2026)
por: Anja Shahu, et al.
Publicado: (2026)
Sensitivity Analysis for Effects of Multiple Exposures in the Presence of Unmeasured Confounding: Non‐Gaussian and Time‐to‐Event Outcomes
por: Seungjae Lee, et al.
Publicado: (2024)
por: Seungjae Lee, et al.
Publicado: (2024)
Adaptive Sparsening and Smoothing of the Treatment Model for Longitudinal Causal Inference Using Outcome‐Adaptive LASSO and Marginal Fused LASSO
por: Mireille E. Schnitzer, et al.
Publicado: (2026)
por: Mireille E. Schnitzer, et al.
Publicado: (2026)
A Unified Framework for Modeling Feedback and Endogeneity in Longitudinal Binary Outcomes Using Bayesian Methods
por: Lori P. Selby, et al.
Publicado: (2025)
por: Lori P. Selby, et al.
Publicado: (2025)
Semiparametric Modeling of Biomarker Trajectory and Variability With Correlated Measurement Errors
por: Renwen Luo, et al.
Publicado: (2025)
por: Renwen Luo, et al.
Publicado: (2025)
Correction to “Structure Identification, Estimation for Variable Selection for Varying Coefficient EV Models With Longitudinal Data”
Publicado: (2026)
Publicado: (2026)
Guidelines and Best Practices for the Use of Targeted Maximum Likelihood and Machine Learning When Estimating Causal Effects of Exposures on Time‐To‐Event Outcomes
por: Denis Talbot, et al.
Publicado: (2025)
por: Denis Talbot, et al.
Publicado: (2025)
A Nonparametric Regression Calibration for the Accelerated Failure Time Model With Measurement Error
por: Yih‐Huei Huang, et al.
Publicado: (2024)
por: Yih‐Huei Huang, et al.
Publicado: (2024)
A Simple Diagnostic for the Positivity Assumption for Continuous Exposures
por: Erica E. M. Moodie, et al.
Publicado: (2025)
por: Erica E. M. Moodie, et al.
Publicado: (2025)
Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
por: Yuanyuan Luan, et al.
Publicado: (2026)
por: Yuanyuan Luan, et al.
Publicado: (2026)
A Corrected Score Approach for Proportional Hazards Model With Error‐Contaminated Covariates Subject to Detection Limits
por: Xiao Song, et al.
Publicado: (2025)
por: Xiao Song, et al.
Publicado: (2025)
A Latent‐factor MCACE Model for Multidimensional Outcomes and Treatment Noncompliance with Application to a Longitudinal Trial of Arthritis Health Journal
por: Lulu Guo, et al.
Publicado: (2026)
por: Lulu Guo, et al.
Publicado: (2026)
Skewness‐Corrected Confidence Intervals for Predictive Values in Enrichment Studies
por: Dadong Zhang, et al.
Publicado: (2024)
por: Dadong Zhang, et al.
Publicado: (2024)
Multilevel Longitudinal Functional Principal Component Model
por: Wenyi Lin, et al.
Publicado: (2024)
por: Wenyi Lin, et al.
Publicado: (2024)
Comprehensive Analysis of Asynchronous Binary Variable Associations in Longitudinal End‐of‐Life Studies
por: Zhuangzhuang Liu, et al.
Publicado: (2026)
por: Zhuangzhuang Liu, 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)
Risk‐Profile Based Monitoring Intervals for Multivariate Longitudinal Biomarker Measurements and Competing Events With Applications in Stable Heart Failure
por: Teun B. Petersen, et al.
Publicado: (2025)
por: Teun B. Petersen, et al.
Publicado: (2025)
Transportability of Regression Calibration with External Validation Studies for Measurement Error Correction
por: Li, Zexiang, et al.
Publicado: (2026)
por: Li, Zexiang, et al.
Publicado: (2026)
Survival Analysis Under the Aalen's Additive Hazards Model With Covariate Measurement Error: Application to Causal Mediation Analysis
por: Xialing Wen, et al.
Publicado: (2025)
por: Xialing Wen, et al.
Publicado: (2025)
A Comparison of Two Methods for Adaptive Multi‐Arm Two‐Stage Design
por: Cyrus Mehta, et al.
Publicado: (2025)
por: Cyrus Mehta, et al.
Publicado: (2025)
Varying Treatment Effects in Subgroups: A Unified Framework for Longitudinal Data Analysis
por: Pu Zhang, et al.
Publicado: (2026)
por: Pu Zhang, et al.
Publicado: (2026)
Flexible and Interpretable Modeling of Overlapping Exposure Risks in Self‐Controlled Case Series Analysis
por: Xuezhixing Zhang, et al.
Publicado: (2026)
por: Xuezhixing Zhang, et al.
Publicado: (2026)
Statistical Inference for Association Studies in the Presence of Binary Outcome Misclassification
por: Kimberly A. Hochstedler Webb, et al.
Publicado: (2025)
por: Kimberly A. Hochstedler Webb, et al.
Publicado: (2025)
New Quadratic Discriminant Analysis Algorithms for Correlated Audiometric Data
por: Fuyu Guo, et al.
Publicado: (2024)
por: Fuyu Guo, et al.
Publicado: (2024)
BCH‐GEE Approach to Examine the Association Between Time‐Varying Food Environment Classes and Multi‐Level Health Outcomes
por: Kelsey A. L. Alexovitz, et al.
Publicado: (2026)
por: Kelsey A. L. Alexovitz, et al.
Publicado: (2026)
Jointly Modeling Time‐To‐Event and Longitudinal Data With Individual‐Specific Change Points: A Case Study in Modeling Tumor Burden
por: Ethan M. Alt, et al.
Publicado: (2025)
por: Ethan M. Alt, et al.
Publicado: (2025)
A Bayesian Approach for Robust Longitudinal Envelope Models
por: Peng Zeng, et al.
Publicado: (2026)
por: Peng Zeng, et al.
Publicado: (2026)
Bayesian Network Meta‐Analysis With One or Two Continuous Outcomes Measured at Multiple Time Points Using Gaussian Random Walks With Drift
por: Pai‐Shan Cheng, et al.
Publicado: (2026)
por: Pai‐Shan Cheng, et al.
Publicado: (2026)
Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
por: Chenxi Li, et al.
Publicado: (2025)
por: Chenxi Li, et al.
Publicado: (2025)
Ejemplares similares
-
Causal Covariate Selection for the Regression Calibration Method for Exposure Measurement Error Bias Correction
por: Wenze Tang, et al.
Publicado: (2026) -
Exposure measurement error correction in longitudinal studies with discrete outcomes
por: Yang, Ce, et al.
Publicado: (2025) -
Measurement Error Correction for Spatially Defined Environmental Exposures in Survival Analysis
por: Ge, Lin, et al.
Publicado: (2024) -
Power and Sample Size Calculations for Cluster Randomized Hybrid Type 2 Effectiveness‐Implementation Studies
por: Melody A. Owen, et al.
Publicado: (2025) -
Causal Covariate Selection for the Imputation-based Regression Calibration Method for Exposure Measurement Error Bias Correction
por: Tang, Wenze, et al.
Publicado: (2023)