Saved in:
| Main Authors: | Selimi, Qendresa, Charalambous, Christiana, Baghfalaki, Taban, Booth, John, Marks, Stephen D |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.12740 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
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)
by: Baghfalaki, Taban, 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)
by: Baghfalaki, Taban, et al.
Published: (2024)
A Two-stage Joint Modeling Approach for Multiple Longitudinal Markers and Time-to-event Data
by: Baghfalaki, Taban, et al.
Published: (2024)
by: Baghfalaki, Taban, et al.
Published: (2024)
A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders
by: Rajapaksha, Rajapaksha Mudalige Dhanushka S., et al.
Published: (2025)
by: Rajapaksha, Rajapaksha Mudalige Dhanushka S., et al.
Published: (2025)
Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
by: Baghfalaki, Taban, et al.
Published: (2025)
by: Baghfalaki, Taban, et al.
Published: (2025)
Joint Modeling of Longitudinal Measurements and Time-to-event Outcomes Using BUGS
by: Baghfalaki, Taban, et al.
Published: (2024)
by: Baghfalaki, Taban, et al.
Published: (2024)
Assessing the Longitudinal Impact of Environmental Chemical Mixtures on Children's Neurodevelopment: A Bayesian Approach
by: Jia, Wei, et al.
Published: (2024)
by: Jia, Wei, et al.
Published: (2024)
Bayesian Scalar-on-Tensor Quantile Regression for Longitudinal Data on Alzheimer's Disease
by: Lyu, Rongke, et al.
Published: (2026)
by: Lyu, Rongke, et al.
Published: (2026)
Bayesian Joint Modeling for Longitudinal Magnitude Data with Informative Dropout: an Application to Critical Care Data
by: Teng, Wen, et al.
Published: (2024)
by: Teng, Wen, et al.
Published: (2024)
A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)
by: Yang, Zhenwei, 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)
by: Aghabazaz, Zeynab, et al.
Published: (2025)
BLOG: Bayesian Longitudinal Omics with Group Constraints
by: Popa, Livia, et al.
Published: (2025)
by: Popa, Livia, et al.
Published: (2025)
Bayesian Inference for Joint Tail Risk in Paired Biomarkers via Archimedean Copulas with Restricted Jeffreys Priors
by: Aich, Agnideep, et al.
Published: (2026)
by: Aich, Agnideep, et al.
Published: (2026)
A Bayesian Spatio-Temporal Top-Down Framework for Estimating Opioid Use Disorder Risk Under Data Sparsity
by: Peterson, Emily N, et al.
Published: (2025)
by: Peterson, Emily N, et al.
Published: (2025)
Auto-Regressive Standard Precipitation Index: A Bayesian Approach for Drought Characterization
by: Ghosh, Soham, et al.
Published: (2025)
by: Ghosh, Soham, et al.
Published: (2025)
Longitudinal Outcomes Truncated by Death: Causal Estimands and Bayesian Estimators
by: Ortholand, Juliette, et al.
Published: (2026)
by: Ortholand, Juliette, et al.
Published: (2026)
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)
by: Li, Wenhao, et al.
Published: (2023)
Absolute Risk Prediction for Cannabis Use Disorder in Adolescence and Early Adulthood Using Bayesian Machine Learning
by: Wang, Tingfang, et al.
Published: (2025)
by: Wang, Tingfang, et al.
Published: (2025)
A Bayesian Nonparametric Model for Predicting Pregnancy Outcomes Using Longitudinal Profiles
by: Gaskins, Jeremy T., et al.
Published: (2017)
by: Gaskins, Jeremy T., et al.
Published: (2017)
A systematic review of sample size determination in Bayesian randomized clinical trials: full Bayesian methods are rarely used
by: Marks, Yanara, et al.
Published: (2025)
by: Marks, Yanara, et al.
Published: (2025)
Sensitivity Analysis of Priors in the Bayesian Dirichlet Auto-Regressive Moving Average Model
by: Katz, Harrison, et al.
Published: (2025)
by: Katz, Harrison, et al.
Published: (2025)
Epidemiology, Trajectories and Outcomes of Acute Kidney Injury Among Hospitalized Patients: A Retrospective Multicenter Large Cohort Study
by: Adiyeke, Esra, et al.
Published: (2024)
by: Adiyeke, Esra, et al.
Published: (2024)
Multi-state Models For Disease Histories Based On Longitudinal Data
by: Wiegrebe, Simon, et al.
Published: (2025)
by: Wiegrebe, Simon, 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)
by: Potts, Sophie, et al.
Published: (2025)
Joint Modeling of Multiple Longitudinal Biomarkers and Survival Outcomes via Threshold Regression: Variability as a Predictor
by: Yu, Mingyan, et al.
Published: (2025)
by: Yu, Mingyan, et al.
Published: (2025)
A Latent Class Bayesian Model for Multivariate Longitudinal Outcomes with Excess Zeros
by: Chakraborty, Chitradipa, et al.
Published: (2025)
by: Chakraborty, Chitradipa, et al.
Published: (2025)
A Bayesian Dirichlet Auto-Regressive Moving Average Model for Forecasting Lead Times
by: Katz, Harrison, et al.
Published: (2023)
by: Katz, Harrison, et al.
Published: (2023)
Longitudinal Risk Prediction in Mammography with Privileged History Distillation
by: Karimian, Banafsheh, et al.
Published: (2026)
by: Karimian, Banafsheh, et al.
Published: (2026)
JASPER: Joint Bayesian Analysis of Spatial Expression via Regression
by: Dey, Pritam, et al.
Published: (2026)
by: Dey, Pritam, et al.
Published: (2026)
Joint Modeling of Longitudinal EHR Data with Shared Random Effects for Informative Visiting and Observation Processes
by: Yang, Cheng-Han, et al.
Published: (2026)
by: Yang, Cheng-Han, et al.
Published: (2026)
Bayesian Deep Gaussian Processes for Correlated Functional Data: A Case Study in Cosmological Matter Power Spectra
by: Walsh, Stephen A., et al.
Published: (2025)
by: Walsh, Stephen A., 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)
by: Qu, Yixiang, et al.
Published: (2025)
Modeling Joint Health Effects of Environmental Exposure Mixtures with Bayesian Additive Regression Trees
by: Englert, Jacob, et al.
Published: (2024)
by: Englert, Jacob, et al.
Published: (2024)
Hidden Cost of Mutation Testing on Auto‐Grader
by: Rifat Sabbir Mansur, et al.
Published: (2025)
by: Rifat Sabbir Mansur, et al.
Published: (2025)
Joint Modeling of Biomarker Cascades Along An Unobserved Disease Progression with Differentiate Covariate Effects: An Application in Alzheimer's Disease
by: Tang, Zhuojun, et al.
Published: (2023)
by: Tang, Zhuojun, et al.
Published: (2023)
Joint Bayesian Inference of Genetic Effect Sizes and PK Parameters in Nonlinear Mixed-Effects Models
by: Martinelli, Julien, et al.
Published: (2026)
by: Martinelli, Julien, et al.
Published: (2026)
Modeling Zero-Inflated Longitudinal Circular Data Using Bayesian Methods: Application to Ophthalmology
by: Bhuyan, Prajamitra, et al.
Published: (2026)
by: Bhuyan, Prajamitra, et al.
Published: (2026)
A Bayesian Approach to Modeling Variance of Intensive Longitudinal Biomarker Data as a Predictor of Health Outcomes
by: Yu, Mingyan, et al.
Published: (2024)
by: Yu, Mingyan, et al.
Published: (2024)
Application of Markov Chains to Multiple Sclerosis Clinical Trial Data to Estimate Disease Trajectories
by: Sthanu, Uma, et al.
Published: (2024)
by: Sthanu, Uma, et al.
Published: (2024)
Bayesian Inference General Procedures for A Single-subject Test Study
by: Li, Jie, et al.
Published: (2024)
by: Li, Jie, et al.
Published: (2024)
Similar Items
-
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) -
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) -
A Two-stage Joint Modeling Approach for Multiple Longitudinal Markers and Time-to-event Data
by: Baghfalaki, Taban, et al.
Published: (2024) -
A Bayesian Learning Model for Joint Risk Prediction of Alcohol and Cannabis Use Disorders
by: Rajapaksha, Rajapaksha Mudalige Dhanushka S., et al.
Published: (2025) -
Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
by: Baghfalaki, Taban, et al.
Published: (2025)