Cover Image

Generalized Method of Moments in Analyzing Recurrent Events for Semiparametric Transformation Models With Informative Censoring

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Yu‐Jen Cheng, Chang‐Yu Tsai
Format:	Artículo Open Access
Published:	Wiley 2025
Subjects:	Statistics in Medicine
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Identification of Regions of Interest in Neuroimaging Data With Irregular Boundary Based on Semiparametric Transformation Models and Interval‐Censored Outcomes
by: Chun Yin Lee, et al.
Published: (2025)

Robust Estimation of Additive Shared‐Frailty Models for Recurrent Event Data With Dependent Censoring
by: Xin Chen, et al.
Published: (2025)

Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach
by: Nasrin Sultana, et al.
Published: (2026)

Predicting Individual Risk of Advanced Adenoma Based on the Interval‐Censored Recurrent Adenoma Event and Informative Screening Time
by: Yipeng Wei, et al.
Published: (2026)

Generalized Estimating Equations for Survival Data With Dependent Censoring
by: Lili Yu, et al.
Published: (2024)

Bayesian Empirical Likelihood Regression for Semiparametric Estimation of Optimal Dynamic Treatment Regimes
by: Weichang Yu, et al.
Published: (2024)

Sieve Maximum Likelihood Estimation of Partially Linear Transformation Models With Interval‐Censored Data
by: Changhui Yuan, et al.
Published: (2024)

Improve the Precision of Area Under the Curve Estimation for Recurrent Events Through Covariate Adjustment
by: Jiren Sun, et al.
Published: (2025)

A Varying‐Coefficient Additive Hazard Model for Recurrent Events Data
by: Zhao Da, et al.
Published: (2025)

Semiparametric Modeling of Biomarker Trajectory and Variability With Correlated Measurement Errors
by: Renwen Luo, et al.
Published: (2025)

Optimizing Medical Guidelines: Insights Using a Generalized Method of Moments Approach
by: Vidhura S. Tennekoon
Published: (2026)

Trivariate Joint Modeling for Family Data with Longitudinal Counts, Recurrent Events and a Terminal Event with Application to Lynch Syndrome
by: Jingwei Lu, et al.
Published: (2024)

Bland–Altman Plot for Censored Variables
by: Anne Lotz, et al.
Published: (2025)

Bayesian Estimation of Partial Functional Tobit Censored Quantile Regression Model
by: Chunjie Wang, et al.
Published: (2025)

Interpretable Deep Regression Models With Interval‐Censored Failure Time Data
by: Changhui Yuan, et al.
Published: (2026)

Semiparametric Partial Functional Regression Model for Estimating Optimal Individualized Treatment Regime
by: Kaidi Kong, et al.
Published: (2025)

Random Survival Forest for Censored Functional Data
by: Giuseppe Loffredo, et al.
Published: (2025)

Proportional Mean Residual Life Model With Varying Coefficients for Right Censored Data
by: Bing Wang, et al.
Published: (2025)

Analyzing Coarsened and Missing Data by Imputation Methods
by: Lars L. J. van der Burg, et al.
Published: (2025)

RMST for Interval‐Censored Data in Oncology Clinical Trials
by: Xiyuan Gao, et al.
Published: (2025)

On Window Mean Survival Time With Interval‐Censored Data
by: Takuto Iijima, et al.
Published: (2026)

A Joint Model for (Un)Bounded Longitudinal Markers, Competing Risks, and Recurrent Events Using Patient Registry Data
by: Pedro Miranda Afonso, et al.
Published: (2025)

Model‐Free Approach to Evaluate a Censored Intermediate Outcome as a Surrogate for Overall Survival
by: Xuan Wang, et al.
Published: (2025)

Finite Mixtures of Multivariate t Linear Mixed‐Effects Models for Censored Longitudinal Data With Concomitant Covariates
by: Tsung‐I Lin, et al.
Published: (2026)

Semiparametric Estimation of Relative Causal Effects in Randomized Controlled Trials With Noncompliance
by: Wenli Liu, et al.
Published: (2025)

BayTetra : A Bayesian Semiparametric Approach for Testing Trajectory Differences
by: Wei Jin, et al.
Published: (2025)

Gaussian Process Regression for Value‐Censored Functional and Longitudinal Data
by: Adam Gorm Hoffmann, et al.
Published: (2025)

Mediation Analysis of Failure Time Data Under Interval Censoring
by: Yanpeng Shi, et al.
Published: (2026)

Weighted Expectile Regression Neural Networks for Right Censored Data
by: Feipeng Zhang, et al.
Published: (2024)

Bayesian Analysis of Censored Linear Mixed‐Effects Models for Heavy‐Tailed Irregularly Observed Repeated Measures
by: Kelin Zhong, et al.
Published: (2025)

Semiparametric Inference for a Two‐Phase Failure‐Time‐Auxiliary‐Dependent Sampling Design
by: Xu Cao, et al.
Published: (2025)

An Augmented Approach for Regression Analysis of Case‐Cohort Interval‐Censored Failure Time Data
by: Yichen Lou, et al.
Published: (2025)

Inference About Separable Causal Effects With Longitudinal Bivariate Ordinal Responses With Missingness and Censoring
by: Pingbo Hu, et al.
Published: (2026)

Bayesian Generalized Linear Models for Analyzing Compositional and Sub‐Compositional Microbiome Data via EM Algorithm
by: Li Zhang, et al.
Published: (2025)

Confidence Interval Construction for Causally Generalized Estimates With Target Sample Summary Information
by: Yi Chen, et al.
Published: (2026)

A Bayesian Parametric and Nonparametric Approach for the Imputation of Multivariate Left‐Censored Data Due to Limit of Detection
by: Federico L. Perlino, et al.
Published: (2025)

Efficient Computation of High‐Dimensional Penalized Piecewise Constant Hazard Random Effects Models
by: Hillary M. Heiling, et al.
Published: (2025)

Efficient Risk Assessment of Time‐to‐Event Targets With Adaptive Information Transfer
by: Jie Ding, et al.
Published: (2024)

Comparing Methods to Assess Treatment Effect Heterogeneity in General Parametric Regression Models
by: Yao Chen, et al.
Published: (2026)

A Partially Randomized Patient Preference, Sequential, Multiple‐Assignment, Randomized Trial Design Analyzed via Weighted and Replicated Frequentist and Bayesian Methods
by: Marianthie Wank, et al.
Published: (2024)