PreprintLicence not statedHAL
A Two-Stage Bayesian Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers with Competing Risks
Related
- Bayesian Variable Selection Approaches to Identifying Selection in Evolutionary Datasets
- The Informational Model of the Holobiont: Statistical Tests for Selection and Extension to a Theory of Variable Interactions
- Bayesian Hierarchical Models for Longitudinal Meta-Analysis in Sports Science: A Practical Tutorial Using brms
- Uncertainty-Aware Model Selection with a Calibrated Probability-Generating-Function-Based Bayesian Information Criterion
- On the sensitivity to hyperparameters of a Bayesian method to infer selection signatures
BibTeX
@misc{baghfalaki2026twostage,
title = {{A Two-Stage Bayesian Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers with Competing Risks}},
author = {Taban Baghfalaki and Reza Hashemi and Christophe Tzourio and Catherine Helmer and Helene Jacqmin-Gadda},
howpublished = {HAL},
year = {2026},
month = sep,
eprint = {2412.03797},
archivePrefix = {arXiv},
url = {https://u-bordeaux.hal.science/hal-05760184v1},
}
RIS
TY - UNPB
TI - A Two-Stage Bayesian Approach for Variable Selection in Joint Modeling of Multiple Longitudinal Markers with Competing Risks
AU - Taban Baghfalaki
AU - Reza Hashemi
AU - Christophe Tzourio
AU - Catherine Helmer
AU - Helene Jacqmin-Gadda
PY - 2026
DA - 2026/09/23
PB - HAL
UR - https://u-bordeaux.hal.science/hal-05760184v1
ER -