Penalized Likelihood Optimization for Adaptive Neighborhood Clustering in Time-to-Event Data with Group-Level Heterogeneity
Fuente:
arXiv
Saved in:
| Main Authors: | Ragni, Alessandra, Cavinato, Lara, Ieva, Francesca |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
by: Ragni, Alessandra, et al.
Published: (2023)
by: Ragni, Alessandra, et al.
Published: (2023)
Trajectory-informed graph-based clustering for longitudinal cancer subtyping
by: Cavinato, Lara, et al.
Published: (2026)
by: Cavinato, Lara, et al.
Published: (2026)
Analysis of Higher Education Dropouts Dynamics through Multilevel Functional Decomposition of Recurrent Events in Counting Processes
by: Ragni, Alessandra, et al.
Published: (2024)
by: Ragni, Alessandra, et al.
Published: (2024)
Adaptive Penalized Likelihood method for Markov Chains
by: Zhou, Yining, et al.
Published: (2024)
by: Zhou, Yining, et al.
Published: (2024)
Penalized Likelihood Methods for Modeling Count Data
by: Bui, Minh Thu, et al.
Published: (2021)
by: Bui, Minh Thu, et al.
Published: (2021)
Scanner-Agnostic MRI Harmonization via SSIM-Guided Disentanglement
by: Caldera, Luca, et al.
Published: (2025)
by: Caldera, Luca, et al.
Published: (2025)
Nonparametric estimation of the Patient Weighted While-Alive Estimand
by: Ragni, Alessandra, et al.
Published: (2024)
by: Ragni, Alessandra, et al.
Published: (2024)
Adaptive Penalized Doubly Robust Regression for Longitudinal Data
by: Wang, Yuyao, et al.
Published: (2026)
by: Wang, Yuyao, et al.
Published: (2026)
Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
by: Shao, Sisi, et al.
Published: (2024)
by: Shao, Sisi, et al.
Published: (2024)
mmid: Multi-Modal Integration and Downstream analyses for healthcare analytics in Python
by: Vergani, Andrea Mario, et al.
Published: (2026)
by: Vergani, Andrea Mario, et al.
Published: (2026)
Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in osteosarcoma
by: Spreafico, Marta, et al.
Published: (2023)
by: Spreafico, Marta, et al.
Published: (2023)
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov models
by: Spreafico, Marta, et al.
Published: (2021)
by: Spreafico, Marta, et al.
Published: (2021)
Measuring and Modeling Neighborhoods
by: McCartan, Cory, et al.
Published: (2021)
by: McCartan, Cory, et al.
Published: (2021)
Unraveling time-varying causal effects of multiple exposures: integrating Functional Data Analysis with Multivariable Mendelian Randomization
by: Fontana, Nicole, et al.
Published: (2025)
by: Fontana, Nicole, et al.
Published: (2025)
Penalized Fair Regression for Multiple Groups in Chronic Kidney Disease
by: Nakamoto, Carter H., et al.
Published: (2025)
by: Nakamoto, Carter H., et al.
Published: (2025)
Cluster-weighted modeling of lifetime hierarchical data for profiling COVID-19 heart failure patients
by: Caldera, Luca, et al.
Published: (2025)
by: Caldera, Luca, et al.
Published: (2025)
Accommodating the Analysis Model in Multiple Imputation for the Weibull Mixture Cure Model:Performance under Penalized Likelihood
by: Xu, Changchang, et al.
Published: (2025)
by: Xu, Changchang, et al.
Published: (2025)
Multi-state Modeling of Delay Evolution in Suburban Rail Transports
by: Colombo, Stefania, et al.
Published: (2025)
by: Colombo, Stefania, et al.
Published: (2025)
A neighbour selection approach for identifying differential networks in conditional functional graphical models
by: Mapelli, Alessia, et al.
Published: (2026)
by: Mapelli, Alessia, et al.
Published: (2026)
An Approximate Maximum Likelihood Estimator for Discretely Observed Linear Birth-and-Death Processes
by: Long, Xiaochen, et al.
Published: (2025)
by: Long, Xiaochen, et al.
Published: (2025)
Selective Inference in Graphical Models via Maximum Likelihood
by: Guglielmini, Sofia, et al.
Published: (2025)
by: Guglielmini, Sofia, et al.
Published: (2025)
Quasi-Likelihood Analysis for Student-Lévy Regression
by: Masuda, Hiroki, et al.
Published: (2023)
by: Masuda, Hiroki, et al.
Published: (2023)
Penalized Likelihood Parameter Estimation for Differential Equation Models: A Computational Tutorial
by: Simpson, Matthew J, et al.
Published: (2026)
by: Simpson, Matthew J, et al.
Published: (2026)
Deep Clustering of Remote Sensing Scenes through Heterogeneous Transfer Learning
by: Ray, Isaac, et al.
Published: (2024)
by: Ray, Isaac, et al.
Published: (2024)
Fast Likelihood-Free Parameter Estimation for Lévy Processes
by: Coloma, Nicolas, et al.
Published: (2025)
by: Coloma, Nicolas, et al.
Published: (2025)
Gimbal Regression: Orientation-Adaptive Local Linear Regression under Spatial Heterogeneity
by: Otani, Yuichiro
Published: (2026)
by: Otani, Yuichiro
Published: (2026)
Smoothing Variances Across Time: Adaptive Stochastic Volatility
by: Cho, Jason B., et al.
Published: (2024)
by: Cho, Jason B., et al.
Published: (2024)
Functional Post-Clustering Selective Inference with Applications to EHR Data Analysis
by: Zhu, Zihan, et al.
Published: (2024)
by: Zhu, Zihan, et al.
Published: (2024)
Hidden multistate models to study multimorbidity trajectories
by: Manzoni, Valentina, et al.
Published: (2026)
by: Manzoni, Valentina, et al.
Published: (2026)
A Bayesian Semiparametric Mixture Model for Clustering Zero-Inflated Microbiome Data
by: Korsurat, Suppapat, et al.
Published: (2025)
by: Korsurat, Suppapat, et al.
Published: (2025)
Uncover mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach
by: Caldera, Luca, et al.
Published: (2024)
by: Caldera, Luca, et al.
Published: (2024)
Trajectory-Oriented Optimization Via Adaptive Thompson Sampling And Grid Refinement: A Tutorial With The ADAPTIVE\_TS Package
by: O'Gara, David, et al.
Published: (2026)
by: O'Gara, David, et al.
Published: (2026)
Don't Disregard the Data for Lack of a Likelihood: Bayesian Synthetic Likelihood for Enhanced Multilevel Network Meta-Regression
by: Campbell, Harlan, et al.
Published: (2026)
by: Campbell, Harlan, et al.
Published: (2026)
Penalized Linear Models for Highly Correlated High-Dimensional Immunophenotyping Data
by: Dong, Xiaoru, et al.
Published: (2025)
by: Dong, Xiaoru, et al.
Published: (2025)
Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach
by: Zhang, Xinbo, et al.
Published: (2025)
by: Zhang, Xinbo, et al.
Published: (2025)
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning
by: Baucks, Frederik, et al.
Published: (2024)
by: Baucks, Frederik, et al.
Published: (2024)
Split-Apply-Combine with Dynamic Grouping
by: van der Loo, Mark P. J.
Published: (2024)
by: van der Loo, Mark P. J.
Published: (2024)
A Likelihood Approach to Incorporating Self-Report Data in HIV Recency Classification
by: Yang, Wenlong, et al.
Published: (2023)
by: Yang, Wenlong, et al.
Published: (2023)
Age-Specific Logistic Regression with Complex Event Time Data
by: Haoxuan, et al.
Published: (2026)
by: Haoxuan, et al.
Published: (2026)
A Nonparametric Bayesian Local-Global Model for Enhanced Adverse Event Signal Detection in Spontaneous Reporting System Data
by: Huang, Xin-Wei, et al.
Published: (2025)
by: Huang, Xin-Wei, et al.
Published: (2025)
Similar Items
-
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
by: Ragni, Alessandra, et al.
Published: (2023) -
Trajectory-informed graph-based clustering for longitudinal cancer subtyping
by: Cavinato, Lara, et al.
Published: (2026) -
Analysis of Higher Education Dropouts Dynamics through Multilevel Functional Decomposition of Recurrent Events in Counting Processes
by: Ragni, Alessandra, et al.
Published: (2024) -
Adaptive Penalized Likelihood method for Markov Chains
by: Zhou, Yining, et al.
Published: (2024) -
Penalized Likelihood Methods for Modeling Count Data
by: Bui, Minh Thu, et al.
Published: (2021)