Cover Image

Backward Joint Model for the Joint Dynamic Prediction of Time-to-Event and Longitudinal Data: Basic Formulation and New Developments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Wenhao, Wang, Shikun, Yin, Zhe, Astor, Brad C., Yang, Wei, Greene, Tom H., Li, Liang
Format:	Preprint
Published:	2023
Subjects:	Methodology Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Layer Backward Joint Model for Dynamic Prediction of Clinical Events with Multivariate Longitudinal Predictors of Mixed Types
by: Li, Wenhao, et al.
Published: (2025)

Cure Rate Joint Model for Time-to-Event Data and Longitudinal Tumor Burden with Potential Change Points
by: Qu, Yixiang, et al.
Published: (2025)

A Joint Model of Longitudinal CVD Risk Factors, Medication Use, and Time-to-Terminal Events
by: Aghabazaz, Zeynab, et al.
Published: (2025)

Bridging the Gap: Introducing Joint Models for Longitudinal and Time-to-event Data in the Social Sciences
by: Potts, Sophie, et al.
Published: (2025)

Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)

TransformerLSR: Attentive Joint Model of Longitudinal Data, Survival, and Recurrent Events with Concurrent Latent Structure
by: Zhang, Zhiyue, et al.
Published: (2024)

Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)

Bayesian Joint Modeling of Zero-Inflated Longitudinal Data and Survival with a Cure Fraction: Application to AIDS Data
by: Baghfalaki, Taban, et al.
Published: (2025)

Joint Modelling of Line and Point Data on Metric Graphs
by: Lilleborge, Karina, et al.
Published: (2025)

A Personalized Predictive Model that Jointly Optimizes Discrimination and Calibration
by: Krikella, Tatiana, et al.
Published: (2024)

A Comparison of Joint and Stepwise Dynamic Cognitive Diagnostic Models
by: Ma, Yawen, et al.
Published: (2026)

Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
by: Zhang, Eric, et al.
Published: (2025)

Goodness-of-Fit Checks for Joint Models
by: Rizopoulos, Dimitris, et al.
Published: (2026)

Joint Modeling of Two Stochastic Processes, with Application to Learning Hospitalization Dynamics from Wastewater Viral Concentrations
by: Peng, K. Ken, et al.
Published: (2026)

Age-Specific Logistic Regression with Complex Event Time Data
by: Haoxuan, et al.
Published: (2026)

Joint Mean and Correlation Regression Models for Multivariate Data
by: Tho, Zhi Yang, et al.
Published: (2024)

JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)

Flexible Models for Simple Longitudinal Data
by: Ogden, Helen
Published: (2024)

Time-Dependent Pseudo $\boldsymbol{R^2}$ for Assessing Predictive Performance in Competing Risks Data
by: Zhuang, Zian, et al.
Published: (2025)

A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)

Random Forest for Dynamic Risk Prediction or Recurrent Events: A Pseudo-Observation Approach
by: Loe, Abigail, et al.
Published: (2023)

Personalized Biopsy Schedules Using an Interval-censored Cause-specific Joint Model
by: Yang, Zhenwei, et al.
Published: (2022)

Joint modeling of wind speed and wind direction through a conditional approach
by: Murphy, Eva, et al.
Published: (2022)

Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot
by: Liao, Lauren D., et al.
Published: (2023)

Dynamic Risk-Adjusted Monitoring of Time Between Events: Applications of NHPP in Pipeline Accident Surveillance
by: Ahmad, Hussam, et al.
Published: (2025)

PROFIT: Projection-based Test in Longitudinal Functional Data
by: Koner, Salil, et al.
Published: (2021)

Joint space-time modelling for upper daily maximum and minimum temperature record-breaking
by: Castillo-Mateo, Jorge, et al.
Published: (2025)

Efficient Adjusted Joint Significance Test and Sobel-Type Confidence Interval for Mediation Effect
by: Zhang, Haixiang
Published: (2023)

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)

A Novel Exact Inference Approach for Log-Logistic Reliability Functions with Applications to Time-to-Event Data
by: Liu, Bowen, et al.
Published: (2026)

Multi-state Models For Disease Histories Based On Longitudinal Data
by: Wiegrebe, Simon, et al.
Published: (2025)

Statistical Considerations for Evaluating Treatment Effect under Various Non-proportional Hazard Scenarios
by: Zhang, Xinyu, et al.
Published: (2024)

Modeling Time-Varying Effects of Mobile Health Interventions Using Longitudinal Functional Data from HeartSteps Micro-Randomized Trial
by: Yu, Jiaxin, et al.
Published: (2024)

Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
by: Aich, Agnideep, et al.
Published: (2026)

Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)

Hierarchical Probabilistic Principal Component Analysis of Longitudinal Data
by: Zhang, Xinyu, et al.
Published: (2026)

Tutorial for Surrogate Endpoint Validation Using Joint modeling and Mediation Analysis
by: Coent, Quentin Le, et al.
Published: (2025)

Bayesian Kernel Machine Regression via Random Fourier Features for Estimating Joint Health Effects of Multiple Exposures
by: Zhang, Danlu, et al.
Published: (2025)

A New Class of Mark-Specific Proportional Hazards Models for Recurrent Events: Application to Opioid Refills Among Post-Surgical Patients
by: Yang, Eileen, et al.
Published: (2025)

Power Estimation for Longitudinal Studies with Time Dependent Covariates Using Generalized Method of Moments
by: Ramezani, Niloofar, et al.
Published: (2026)