:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Tong, Lili, Liu, Piaomu, Pena, Edsel
Format:	Preprint
Published:	2021
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2103.12903
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

System Reliability Estimation via Shrinkage
by: Qiang, Beidi, et al.
Published: (2025)

A Two-Stage Bayesian Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers with Competing Risks
by: Baghfalaki, Taban, et al.
Published: (2024)

Efficient Implementation of a Semiparametric Joint Model for Multivariate Longitudinal Biomarkers and Competing Risks Time-to-Event Data
by: Li, Shanpeng, et al.
Published: (2025)

Estimation of Time-Varying Treatment Effects in a Joint Model for Longitudinal and Recurrent Event Outcomes in Mobile Health Data
by: Abbott, Madeline R, et al.
Published: (2026)

A Two-stage Joint Modeling Approach for Multiple Longitudinal Markers and Time-to-event Data
by: Baghfalaki, Taban, et al.
Published: (2024)

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

A Causal Framework for Evaluating Jointly Longitudinal Outcomes and Surrogate Markers: A State-Space Approach
by: Santos Jr., Silvaneo V. dos, et al.
Published: (2026)

Robust Evaluation of Longitudinal Surrogate Markers with Censored Data
by: Agniel, Denis, 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)

Bayesian Semiparametric Joint Dynamic Model for Multitype Recurrent Events and a Terminal Event
by: Acharjee, Mithun Kumar, et al.
Published: (2025)

Dynamic Prediction of Joint Longitudinal-Survival Models Using a Similarity-Based Approach
by: Kim, Minzee, et al.
Published: (2025)

Joint Optimization and Statistical Inference for Zero-th Order Simulation Optimization
by: Wu, Yuhang, et al.
Published: (2022)

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

Backward Joint Model for the Joint Dynamic Prediction of Time-to-Event and Longitudinal Data: Basic Formulation and New Developments
by: Li, Wenhao, et al.
Published: (2023)

Beyond Point Estimates: Toward Proper Statistical Inferencing and Reporting of Intraclass Correlation Coefficients
by: Liu, Yufeng, et al.
Published: (2026)

Predictiveness Curve Assessment under Competing Risks for Risk Prediction Models
by: Tao, Wei, et al.
Published: (2025)

CMHSU: An R Statistical Software Package to Detect Mental Health Status, Substance Use Status, and their Concurrent Status in the North American Healthcare Administrative Databases
by: Soltanifar, Mohsen, et al.
Published: (2025)

A Bayesian Nonparametric Approach for Semi-Competing Risks with Application to Cardiovascular Health
by: Gelis-Cadena, Karina, et al.
Published: (2025)

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)

Maximum Agreement Linear Predictors
by: Kim, Taeho, et al.
Published: (2023)

Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
by: Liu, Zhaozhe, et al.
Published: (2026)

A Bayesian Joint Modelling of Current Status and Current Count Data
by: Hariharan, Pavithra, et al.
Published: (2024)

Joint Models with Multiple Markers and Multiple Time-to-event Outcomes Using Variational Approximations
by: Christoffersen, Benjamin, et al.
Published: (2025)

Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint
by: Rustand, Denis, et al.
Published: (2024)

A Continuous-Time Dynamic Factor Model for Intensive Longitudinal Data Arising from Mobile Health Studies
by: Abbott, Madeline R., et al.
Published: (2023)

"Spatial Joint Models through Bayesian Structured Piece-wise Additive Joint Modelling for Longitudinal and Time-to-Event Data"
by: Rappl, Anja, et al.
Published: (2023)

Semiparametric Regression for Misclassified Competing Risks Data
by: Balanos, Theofanis, et al.
Published: (2026)

Temporal Configuration Model: Statistical Inference and Spreading Processes
by: Le, Thien-Minh, et al.
Published: (2024)

Statistical Inference for Four-Regime Segmented Regression Models
by: Yan, Han, et al.
Published: (2024)

Longitudinal Causal Inference with Selective Eligibility
by: Jiang, Zhichao, et al.
Published: (2024)

Functional Mixed effects Model for Joint Analysis of Longitudinal and Cross-Sectional Growth Data
by: Chen, Long, et al.
Published: (2025)

Regression Analysis of Cure Rate Models with Competing Risks Subjected to Interval Censoring
by: K., Silpa, et al.
Published: (2024)

Feedback-augmented Non-homogeneous Hidden Markov Models for Longitudinal Causal Inference
by: Helske, Jouni
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)

Approximate Inference for Longitudinal Mechanistic HIV Contact Networks
by: Smiley, Octavious, et al.
Published: (2024)

Modeling Covariate Feedback, Reversal, and Latent Traits in Longitudinal Data: A Joint Hierarchical Framework
by: Ramezani, Niloofar, et al.
Published: (2026)

A Bi-failure Mode Model for Competing Risk Modeling with HMC-Driven Bayesian Framework
by: Abba, Badamasi, et al.
Published: (2025)

The Estimand Framework and Causal Inference: Complementary not Competing Paradigms
by: Drury, Thomas, et al.
Published: (2024)

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

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