Image de couverture de livre

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

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Alvares, Danilo, Barrett, Jessica K., Mercier, François, Roumpanis, Spyros, Yiu, Sean, Castro, Felipe, Schulze, Jochen, Zhu, Yajing
Format:	Preprint
Publié:	2024
Sujets:	Applications Methodology
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Bayesian joint model of multiple longitudinal and categorical outcomes with application to multiple myeloma using permutation-based variable importance
par: Alvares, Danilo, et autres
Publié: (2024)

Bridging the gap between two‐stage and joint models: The case of tumor growth inhibition and overall survival models
par: Danilo Alvares, et autres
Publié: (2024)

Bayesian shared parameter joint models for heterogeneous populations
par: Chen, Sida, et autres
Publié: (2024)

A joint spatiotemporal model for multiple longitudinal markers and competing events
par: Ortholand, Juliette, et autres
Publié: (2025)

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

Dynamic risk prediction model for multiple myeloma
par: Mary Beth Nierengarten
Publié: (2024)

A Bayesian joint modeling for misclassified interval‐censoring and competing risks
par: Zhenwei Yang, et autres
Publié: (2026)

Bayesian semiparametric modelling of biomarker variability in joint models
par: Chen, Sida, et autres
Publié: (2025)

Three‐dimensional telomere profiling predicts risk of progression in smoldering multiple myeloma
par: Shaji Kumar, et autres
Publié: (2024)

Immune prognostic score predicts the risk of infection and survival outcomes in patients with relapsed multiple myeloma treated with bispecific antibodies
par: Othman Salim Akhtar, et autres
Publié: (2024)

Weyl sums with multiplicative coefficients and joint equidistribution
par: Bordignon, Matteo, et autres
Publié: (2023)

Symmetric quantum joint measurements on multiple qubits
par: Ding, Dong, et autres
Publié: (2025)

A joint model for (un)bounded longitudinal markers, competing risks, and recurrent events using patient registry data
par: Afonso, Pedro Miranda, et autres
Publié: (2024)

Mean value theorems in multiplicative systems and joint ergodicity of additive and multiplicative actions
par: Charamaras, Dimitrios
Publié: (2024)

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

Adaptive fuzzy tracking control for multiple‐input multiple‐output nonlinear systems with sensor faults and experiment in the flexible‐joint robot
par: Junhao Yuan, et autres
Publié: (2024)

A joint longitudinal-survival framework for dynamic treatment regimen evaluation in sequential multiple assignment randomized trials
par: Chen, Zhengxi, et autres
Publié: (2026)

Construction of the prediction model for multiple myeloma based on machine learning
par: Jiangying Cai, et autres
Publié: (2024)

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

Implementation of an AI-based MRD evaluation and prediction model for multiple myeloma
par: Chen, Jianfeng, et autres
Publié: (2024)

Tumor growth and overall survival modeling to support decision making in phase Ib/II trials: A comparison of the joint and two‐stage approaches
par: Mathilde Marchand, et autres
Publié: (2024)

High‐risk cytogenetic abnormalities in multiple myeloma: PETHEMA‐GEM experience
par: Veronica González‐Calle, et autres
Publié: (2024)

Can we identify individuals at risk to develop multiple myeloma? A machine learning‐based predictive model
par: Moshe Mittelman, et autres
Publié: (2025)

Imputing missing not-at-random longitudinal marker values in time-to-event analysis: fully conditional specification multiple imputation in joint modeling
par: Murad, Havi, et autres
Publié: (2024)

CAR T‐cell therapy shows impressive outcomes for patients with refractory multiple myeloma
par: Mary Beth Nierengarten
Publié: (2025)

Bayesian joint quantile autoregression
par: Castillo-Mateo, Jorge, et autres
Publié: (2023)

Dysplastic plasma cells in multiple myeloma
par: Marco P. Barros Pinto
Publié: (2025)

New standard of care for multiple myeloma?
par: Mary Beth Nierengarten
Publié: (2024)

Accelerated approval of multiple myeloma therapies
par: Mary Beth Nierengarten
Publié: (2024)

A simple method for joint evaluation of skill in directional forecasts of multiple variables
par: Sitthiyot, Thitithep, et autres
Publié: (2024)

Cytomegalovirus reactivation is frequent in multiple myeloma patients treated with daratumumab‐based regimens
par: Danilo De Novellis, et autres
Publié: (2024)

Navigating the evolving management of smoldering multiple myeloma
par: M. Bakri Hammami, et autres
Publié: (2026)

Are we there yet? CAR ‐T therapy in multiple myeloma
par: Eitan Mirvis, et autres
Publié: (2024)

Mechanisms of resistance to daratumumab in patients with multiple myeloma
par: Katrine Fladeland Iversen
Publié: (2024)

Epigenetic reprogramming in multiple myeloma—Challenges and opportunities
par: Subhasree Kumar, et autres
Publié: (2025)

The importance of autologous stem cell transplantation in improving outcomes in newly diagnosed patients with multiple myeloma
par: Morie A. Gertz
Publié: (2024)

Real‐world characteristics and outcomes of patients with multiple myeloma receiving second‐line treatment in England
par: Sally Moore, et autres
Publié: (2024)

Approximate Bayesian inference for joint partially linear modeling of longitudinal measurements and spatial time-to-event data
par: Baghfalaki, Taban, et autres
Publié: (2025)

Accommodating informative visit times for analysing irregular longitudinal data: a sensitivity analysis approach with balancing weights estimators
par: Yiu, Sean, et autres
Publié: (2023)

Bayesian clustering of multiple zero-inflated outcomes
par: Franzolini, Beatrice, et autres
Publié: (2022)