Copertina

A general joint latent class model of longitudinal and survival data with the covariance modelling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Miao, Ruoyu, Charalambous, Christiana
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

A time-varying bivariate copula joint model for longitudinal and time-to-event data
di: Zhang, Zili, et al.
Pubblicazione: (2022)

A Bayesian joint longitudinal-survival model with a latent stochastic process for intensive longitudinal data
di: Abbott, Madeline R., et al.
Pubblicazione: (2024)

An efficient joint model for high dimensional longitudinal and survival data via generic association features
di: Nguyen, Van Tuan, et al.
Pubblicazione: (2023)

Bayesian joint modelling of longitudinal biomarkers to enable extrapolation of overall survival: an application using larotrectinib trial clinical data
di: Linsell, Louise, et al.
Pubblicazione: (2025)

Causal mediation analysis for longitudinal and survival data in continuous time using Bayesian non-parametric joint models
di: Bhandari, Saurabh, et al.
Pubblicazione: (2025)

A new approach for Bayesian joint modeling of longitudinal and cure-survival outcomes using the defective Gompertz distribution
di: Neto, Dionisio Silva, et al.
Pubblicazione: (2025)

A two-step estimator for multilevel latent class analysis with covariates
di: Di Mari, Roberto, et al.
Pubblicazione: (2023)

Fast and flexible inference for joint models of multivariate longitudinal and survival data using Integrated Nested Laplace Approximations
di: Rustand, Denis, et al.
Pubblicazione: (2022)

On a penalised likelihood approach for joint modelling of longitudinal covariates and partly interval-censored data -- an application to the Anti-PD1 brain collaboration trial
di: Webb, Annabel, et al.
Pubblicazione: (2024)

A flexible class of latent variable models for the analysis of antibody response data
di: Giorgi, Emanuele, et al.
Pubblicazione: (2025)

Personalized feature threshold estimation in joint modelling of longitudinal and time-to-event data
di: Islam, Mirajul, et al.
Pubblicazione: (2025)

Estimating the variance-covariance matrix of two-step estimates of latent variable models: A general simulation-based approach
di: Di Mari, Roberto, et al.
Pubblicazione: (2025)

A regularized multi-state model for covariate selection with interval-censored survival data
di: Bercu, Ariane, et al.
Pubblicazione: (2025)

Adaptive enrichment trial designs using joint modeling of longitudinal and time-to-event data
di: Burdon, Abigail J., et al.
Pubblicazione: (2023)

A joint spatiotemporal model for multiple longitudinal markers and competing events
di: Ortholand, Juliette, et al.
Pubblicazione: (2025)

Omitted covariates bias and finite mixtures of regression models for longitudinal responses
di: Alfo', Marco, et al.
Pubblicazione: (2026)

Regression analysis of multiplicative hazards model with time-dependent coefficient for sparse longitudinal covariates
di: Sun, Zhuowei, et al.
Pubblicazione: (2023)

A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data
di: Afonso, Pedro Miranda, et al.
Pubblicazione: (2024)

A class of modular and flexible covariate-based covariance functions for nonstationary spatial modeling
di: Blasi, Federico, et al.
Pubblicazione: (2024)

Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
di: Baghfalaki, Taban, et al.
Pubblicazione: (2025)

Phylogenetic latent space models for network data
di: Pavone, Federico, et al.
Pubblicazione: (2025)

A joint longitudinal-survival framework for dynamic treatment regimen evaluation in sequential multiple assignment randomized trials
di: Chen, Zhengxi, et al.
Pubblicazione: (2026)

A Bayesian location-scale joint model for time-to-event and multivariate longitudinal data with association based on within-individual variability
di: Palma, Marco, et al.
Pubblicazione: (2025)

A discrete-time survival model to handle interval-censored covariates, with applications to HIV cohort studies
di: Kenny, Avi, et al.
Pubblicazione: (2024)

Sample size and power determination for assessing overall SNP effects in joint modeling of longitudinal and time-to-event data
di: Bian, Yuan, et al.
Pubblicazione: (2026)

Moment-assisted subsampling method for Cox proportional hazards model with large-scale data
di: Su, Miaomiao, et al.
Pubblicazione: (2025)

On inference in parametric survival data models
di: Hjort, Nils Lid
Pubblicazione: (2026)

A generalized tetrad constraint for testing conditional independence given a latent variable
di: Ying, Naiwen, et al.
Pubblicazione: (2025)

Structured prior distributions for the covariance matrix in latent factor models
di: Heaps, Sarah Elizabeth, et al.
Pubblicazione: (2022)

The joint survival super learner: A super learner for right-censored data
di: Munch, Anders, et al.
Pubblicazione: (2024)

A flexible and interpretable spatial covariance model for data on graphs
di: Christensen, Michael F., et al.
Pubblicazione: (2022)

Evaluation of the npde performance for the evaluation of joint model with longitudinal and TTE data: an application in metastatic hormono-resistant prostate cancer
di: Cerou, Marc, et al.
Pubblicazione: (2026)

Analysis of spatially clustered survival data with unobserved covariates using SBART
di: Ghosh, Durbadal, et al.
Pubblicazione: (2024)

Doubly regularized generalized linear models for spatial observations with high-dimensional covariates
di: Sondhi, Arjun, et al.
Pubblicazione: (2024)

Latent Functional PARAFAC for modeling multidimensional longitudinal data
di: Sort, Lucas, et al.
Pubblicazione: (2024)

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
di: Alvares, Danilo, et al.
Pubblicazione: (2024)

Sandwich regression for accurate and robust estimation in generalized linear multilevel and longitudinal models
di: Young, Elliot H., et al.
Pubblicazione: (2024)

Relational event models with global covariates
di: Lembo, Melania, et al.
Pubblicazione: (2024)

Gaussian distributional structural equation models: A framework for modeling latent heteroscedasticity
di: Fazio, Luna, et al.
Pubblicazione: (2024)

Causal Effect Identification and Inference with Endogenous Exposures and a Light-tailed Error
di: Wang, Ruoyu, et al.
Pubblicazione: (2024)