Cover Image

Gaussian Process Regression for Value‐Censored Functional and Longitudinal Data

Fuente: Wiley Open Access

Saved in:

Bibliographic Details
Main Authors:	Adam Gorm Hoffmann, Claus Thorn Ekstrøm, Benjamin Zeymer Christoffersen, Andreas Kryger Jensen
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

Computationally efficient multi-level Gaussian process regression for functional data observed under completely or partially regular sampling designs
by: Hoffmann, Adam Gorm, et al.
Published: (2024)

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

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

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

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

An Augmented Approach for Regression Analysis of Case‐Cohort Interval‐Censored Failure Time Data
by: Yichen Lou, 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)

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

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)

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

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

Bayesian Longitudinal Network Regression With Application to Brain Connectome Genetics
by: Chenxi Li, et al.
Published: (2025)

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

Bland–Altman Plot for Censored Variables
by: Anne Lotz, 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)

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

Joint Frailty Mixture Cure Model for Recurrent Event Data With Dependent Censoring: An MCEM Approach
by: Nasrin Sultana, 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)

Multilevel Longitudinal Functional Principal Component Model
by: Wenyi Lin, et al.
Published: (2024)

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)

Tutorial on Bayesian Functional Regression Using Stan
by: Ziren Jiang, et al.
Published: (2025)

Marginally Interpretable Spatial Logistic Regression With Bridge Processes
by: Changwoo J. Lee, et al.
Published: (2026)

High‐Dimensional Multiresponse Partially Functional Linear Regression
by: Xiong Cai, et al.
Published: (2025)

Generalized Functional Linear Regression Models With Functional and Scalar Covariates Prone to Measurement Error
by: Yuanyuan Luan, et al.
Published: (2026)

Deep Mixture of Linear Mixed Models for Complex Longitudinal Data
by: Lucas Kock, et al.
Published: (2025)

Generalized Method of Moments in Analyzing Recurrent Events for Semiparametric Transformation Models With Informative Censoring
by: Yu‐Jen Cheng, et al.
Published: (2025)

Constructing a T ‐Test for Value Function Comparison of Individualized Treatment Regimes in the Presence of Multiple Imputation for Missing Data
by: Minxin Lu, et al.
Published: (2025)

Bayesian Additive Regression Trees for Group Testing Data
by: Madeleine E. St. Ville, et al.
Published: (2025)

Extended Joinpoint Regression Methodology for Complex Survey Data
by: Benmei Liu, et al.
Published: (2026)

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

Estimating Risk Factors for Pathogenic Dose Accrual From Longitudinal Data
by: Daniel K. Sewell, et al.
Published: (2025)

Poisson Beta Regression for Count Data With an Application to Hospital Length of Stay Data
by: Alan Herschtal
Published: (2025)

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

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

Varying Treatment Effects in Subgroups: A Unified Framework for Longitudinal Data Analysis
by: Pu Zhang, 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)

Bayesian Expectile Joint Model With Varying Coefficient for Longitudinal and Semi‐Competing Risks Data
by: Feng Gu, et al.
Published: (2025)

Structure Identification, Estimation and Variable Selection for Varying Coefficient EV Models With Longitudinal Data
by: Mingtao Zhao, et al.
Published: (2026)

Integrative Multi‐Omics and Multivariate Longitudinal Data Analysis for Dynamic Risk Estimation in Alzheimer's Disease
by: Yuanyuan Guo, et al.
Published: (2025)