Image de couverture de livre

Bayesian competing risks survival modeling for assessing the cause of death of patients with heart failure

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gutiérrez-Botella, Jesús, Armero, Carmen, Kneib, Thomas, Pata, María P., García-Seara, Javier
Format:	Preprint
Publié:	2024
Sujets:	Applications
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Can the hot hand phenomenon be modelled? A Bayesian hidden Markov approach
par: Calvo, Gabriel, et autres
Publié: (2023)

Bayesian estimation for conditional probabilities associated to directed acyclic graphs: study of hospitalization of severe influenza cases
par: Acosta, Lesly, et autres
Publié: (2025)

Bayesian network approach to building an affective module for a driver behavioural model
par: Młynarczyk, Dorota, et autres
Publié: (2025)

Cluster-weighted modeling of lifetime hierarchical data for profiling COVID-19 heart failure patients
par: Caldera, Luca, et autres
Publié: (2025)

Bayesian network approach to building an affective module for a driver behavioural model
par: Młynarczyk, Dorota, et autres
Publié: (2026)

Disclosure risk assessment with Bayesian non-parametric hierarchical modelling
par: Battiston, Marco, et autres
Publié: (2024)

Bayesian reliability acceptance sampling plans for competing risks data under interval censoring
par: Pradhan, Biswabrata, et autres
Publié: (2025)

Uncover mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach
par: Caldera, Luca, et autres
Publié: (2024)

Dependent stochastic block models for age-indexed sequences of directed causes-of-death networks
par: Romanò, Giovanni, et autres
Publié: (2025)

Vaccine sieve analysis on deep sequencing data using competing risks Cox regression with failure type subject to misclassification
par: Peng, James, et autres
Publié: (2025)

Quantifying patient and neighborhood risks for stillbirth and preterm birth in Philadelphia with a Bayesian spatial model
par: Balocchi, Cecilia, et autres
Publié: (2021)

Joint modeling of longitudinal HRQoL data accounting for the risk of competing dropouts
par: Doms, Hortense, et autres
Publié: (2025)

A Systematic Review of Spatio-Temporal Statistical Models: Theory, Structure, and Applications
par: Habereder, Isabella, et autres
Publié: (2025)

Estimating treatment effects from observational data under truncation by death using survival-incorporated quantiles
par: Xiang, Qingyan, et autres
Publié: (2024)

Testing similarity of parametric competing risks models for identifying potentially similar pathways in healthcare
par: Möllenhoff, Kathrin, et autres
Publié: (2024)

Bayesian principal stratification with longitudinal data and truncation by death
par: Grossi, Giulio, et autres
Publié: (2023)

A Bayesian joint model of multiple nonlinear longitudinal and competing risks outcomes for dynamic prediction in multiple myeloma: joint estimation and corrected two-stage approaches
par: Alvares, Danilo, et autres
Publié: (2024)

Modi linear failure rate distribution with application to survival time data
par: Benkhelifa, Lazhar
Publié: (2025)

Bayesian reliability acceptance sampling plan sampling plans under adaptive accelerated type-II censored competing risk data
par: Das, Rathin, et autres
Publié: (2025)

Hybrid Bernstein Normalizing Flows for Flexible Multivariate Density Regression with Interpretable Marginals
par: Arpogaus, Marcel, et autres
Publié: (2025)

Dynamic prediction of death risk given a renewal hospitalization process
par: Pérez-Izquierdo, Telmo J., et autres
Publié: (2024)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
par: Bhandari, Saurabh, et autres
Publié: (2025)

A Bayesian approach to aggregated chemical exposure assessment
par: Neucker, Sophie Van Den, et autres
Publié: (2025)

Bayesian generalized method of moments applied to pseudo-observations in survival analysis
par: Orsini, Léa, et autres
Publié: (2024)

Colorectal cancer risk mapping through Bayesian Networks
par: Corrales, Daniel, et autres
Publié: (2024)

A Bayesian Prevalence Incidence Cure model for estimating survival using Electronic Health Records with incomplete baseline diagnoses
par: Pitt, Matilda, et autres
Publié: (2026)

A Bayesian survival model induced by hurdle zero-modified power series discrete frailty with dispersion: an application in lung cancer
par: Molina, Katy C., et autres
Publié: (2025)

Bayesian sample size calculations for external validation studies of risk prediction models
par: Sadatsafavi, Mohsen, et autres
Publié: (2025)

Bayesian hierarchical models with calibrated mixtures of g-priors for assessing treatment effect moderation in meta-analysis
par: Wang, Qiao, et autres
Publié: (2024)

Quantifying uncertainty of individualized treatment effects in right-censored survival data: A comparison of Bayesian additive regression trees and causal survival forest
par: Kabata, Daijiro, et autres
Publié: (2025)

Robust Bayesian approach for reliability prognosis of nondestructive one-shot devices under cumulative risk model
par: Baghel, Shanya, et autres
Publié: (2024)

Bayesian analysis of restricted mean survival time adjusted for covariates using pseudo-observations
par: Orsini, Léa, et autres
Publié: (2025)

A market-calibrated accelerated failure time model for in-play football forecasting
par: Clegg, Lawrence, et autres
Publié: (2026)

Tutorial on survival modeling with applications to omics data
par: Zhao, Zhi, et autres
Publié: (2023)

A Bayesian workflow for securitizing casualty insurance risk
par: Haines, Nathaniel, et autres
Publié: (2024)

Bayesian regularization for flexible baseline hazard functions in Cox survival models
par: Lázaro, Elena, et autres
Publié: (2024)

Near-real-time ship grounding damage assessment using Bayesian networks
par: Georgiadis, Dimitris G., et autres
Publié: (2025)

Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models
par: Anis, Mohammad, et autres
Publié: (2024)

A two-stage approach to heat-mortality risk assessment comparing multiple exposure-to-temperature models: the case study in Lazio, Italy
par: Ceccarelli, Emiliano, et autres
Publié: (2025)

Bayesian calendar-time survival analysis with epidemic curve priors and variant-specific infection hazards
par: Dahl, Angela M, et autres
Publié: (2026)