Bridging the Gap: Introducing Joint Models for Longitudinal and Time-to-event Data in the Social Sciences

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Potts, Sophie, Rappl, Anja, Kurz, Karin, Bergherr, Elisabeth
Format:	Preprint
Published:	2025
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

"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)

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)

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

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

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

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

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

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

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

Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing the Normal-with-Optional-Shrinkage Data Model Class
by: Alkema, Leontine, 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)

A Multivariate Multilevel Longitudinal Functional Model for Repeatedly Observed Human Movement Data
by: Gunning, Edward, et al.
Published: (2024)

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

A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
by: Yu, Mingyan, et al.
Published: (2024)

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

Functional Clustering for Longitudinal Associations between Social Determinants of Health and Stroke Mortality in the US
by: Luo, Fangzhi, et al.
Published: (2024)

Joint model for interval-censored semi-competing events and longitudinal data with subject-specific within and between visits variabilities
by: Courcoul, Léonie, et al.
Published: (2024)

Estimating Zero-inflated Negative Binomial GAMLSS via a Balanced Gradient Boosting Approach with an Application to Antenatal Care Data from Nigeria
by: Daub, Alexandra, et al.
Published: (2026)

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

Semi-partitioned Generalized Method of Moments for Longitudinal Data with Lagged and Feedback Covariates
by: Ramezani, Niloofar, et al.
Published: (2026)

Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
by: Alt, Ethan M., et al.
Published: (2024)

The Influence of Nuisance Parameter Uncertainty on Statistical Inference in Practical Data Science Models
by: Wan, Yunrong
Published: (2024)

Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)

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

Navigating Challenges in Spatio-temporal Modelling of Antarctic Krill Abundance: Addressing Zero-inflated Data and Misaligned Covariates
by: Amaral, André Victor Ribeiro, et al.
Published: (2024)

A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)

Doubly Robust Targeted Estimation of Conditional Average Treatment Effects for Time-to-event Outcomes with Competing Risks
by: Li, Runjia, et al.
Published: (2024)

Nonresponse Bias Analysis in Longitudinal Studies: A Comparative Review with an Application to the Early Childhood Longitudinal Study
by: Si, Yajuan, et al.
Published: (2022)

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

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

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

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

BLOG: Bayesian Longitudinal Omics with Group Constraints
by: Popa, Livia, et al.
Published: (2025)

A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
by: Chen, Yunxiao
Published: (2019)

Group-Sparse Smoothing for Longitudinal Models with Time-Varying Coefficients
by: Lu, Yu, et al.
Published: (2026)

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

Subtype-Aware Registration of Longitudinal Electronic Health Records
by: Gai, Xin, et al.
Published: (2025)

Considering parallel tempering and comparing post-treatment procedures in Bayesian Profile Regression Models for a survival outcome and correlated exposures
by: Julie, Fendler, et al.
Published: (2025)