Cargando…

Bayesian joint modelling of longitudinal and time to event data: a methodological review

BACKGROUND: In clinical research, there is an increasing interest in joint modelling of longitudinal and time-to-event data, since it reduces bias in parameter estimation and increases the efficiency of statistical inference. Inference and prediction from frequentist approaches of joint models have...

Descripción completa

Detalles Bibliográficos
Autores principales:	Alsefri, Maha, Sudell, Maria, García-Fiñana, Marta, Kolamunnage-Dona, Ruwanthi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2020
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7183597/ https://www.ncbi.nlm.nih.gov/pubmed/32336264 http://dx.doi.org/10.1186/s12874-020-00976-2

Ejemplares similares

Joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis
por: Sudell, Maria, et al.
Publicado: (2016)

Correction to: joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis
por: Sudell, Maria, et al.
Publicado: (2018)

Investigation of 2‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application
por: Sudell, Maria, et al.
Publicado: (2017)

Investigation of one‐stage meta‐analysis methods for joint longitudinal and time‐to‐event data through simulation and real data application
por: Sudell, Maria, et al.
Publicado: (2018)

Sample size formula for joint modelling of longitudinal and time-to-event data in clinical trials
por: Powney, Matthew, et al.
Publicado: (2013)

Joint modelling of time-to-event and multivariate longitudinal outcomes: recent developments and issues
por: Hickey, Graeme L., et al.
Publicado: (2016)

joineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes
por: Hickey, Graeme L., et al.
Publicado: (2018)

Modelling of longitudinal data to predict cardiovascular disease risk: a methodological review
por: Stevens, David, et al.
Publicado: (2021)

Adjusting for informative missing outcome data in clinical trials with longitudinal study designs
por: Kolamunnage-Dona, Ruwanthi, et al.
Publicado: (2013)

A review of the handling of missing longitudinal outcome data in clinical trials
por: Powney, Matthew, et al.
Publicado: (2014)

Modelling variable dropout in randomised controlled trials with longitudinal outcomes: application to the MAGNETIC study
por: Kolamunnage-Dona, Ruwanthi, et al.
Publicado: (2016)

Biomarker-Guided Adaptive Trial Designs in Phase II and Phase III: A Methodological Review
por: Antoniou, Miranta, et al.
Publicado: (2016)

Biomarker-Guided Non-Adaptive Trial Designs in Phase II and Phase III: A Methodological Review
por: Antoniou, Miranta, et al.
Publicado: (2017)

Correction: Antoniou, M.; et al. Biomarker-Guided Non-Adaptive Trial Designs in Phase II and Phase III: A Methodological Review. J. Pers. Med. 2017, 7, 1
por: Antoniou, Miranta, et al.
Publicado: (2018)

Time-dependent ROC curve analysis in medical research: current methods and applications
por: Kamarudin, Adina Najwa, et al.
Publicado: (2017)

Within-Host Bayesian Joint Modeling of Longitudinal and Time-to-Event Data of Leishmania Infection
por: Pabon-Rodriguez, Felix M., et al.
Publicado: (2023)

A Bayesian Framework for Functional Mapping through Joint Modeling of Longitudinal and Time-to-Event Data
por: Das, Kiranmoy, et al.
Publicado: (2012)

Joint modeling of longitudinal and time-to-event data
por: Elashoff, Robert, et al.
Publicado: (2016)

Evaluating statistical characteristics of biomarker-guided trial designs
por: Antoniou, Miranta, et al.
Publicado: (2015)

TAILoR (TelmisArtan and InsuLin Resistance in Human Immunodeficiency Virus [HIV]): An Adaptive-design, Dose-ranging Phase IIb Randomized Trial of Telmisartan for the Reduction of Insulin Resistance in HIV-positive Individuals on Combination Antiretroviral Therapy
por: Pushpakom, Sudeep, et al.
Publicado: (2020)

Joint models for longitudinal and time-to-event data : with applications in R
por: Rizopoulos, Dimitris
Publicado: (2012)

Correction: Antoniou, M.; et al. Fixed and Adaptive Parallel Subgroup-Specific Design for Survival Outcomes: Power and Sample Size. J. Pers. Med. 2017, 7, 19
por: Antoniou, Miranta, et al.
Publicado: (2018)

Fixed and Adaptive Parallel Subgroup-Specific Design for Survival Outcomes: Power and Sample Size
por: Antoniou, Miranta, et al.
Publicado: (2017)

Telmisartan and Insulin Resistance in HIV (TAILoR): protocol for a dose-ranging phase II randomised open-labelled trial of telmisartan as a strategy for the reduction of insulin resistance in HIV-positive individuals on combination antiretroviral therapy
por: Pushpakom, Sudeep P, et al.
Publicado: (2015)

Joint Models for Longitudinal and Time-to-Event Data: With Applications in R
por: Rizopoulos, Dimitris
Publicado: (2012)

Adjusting for treatment changes in epilepsy: causal analysis of randomised controlled trial survival outcomes in the presence of departure from randomised treatment
por: Dodd, Susanna, et al.
Publicado: (2013)

Pharmacodynamics of Isavuconazole for Invasive Mold Disease: Role of Galactomannan for Real-Time Monitoring of Therapeutic Response
por: Kovanda, Laura L., et al.
Publicado: (2017)

Spatial Linear Mixed Effects Modelling for OCT Images: SLME Model †
por: Zhu, Wenyue, et al.
Publicado: (2020)

Spatial and spatio-temporal statistical analyses of retinal images: a review of methods and applications
por: Zhu, Wenyue, et al.
Publicado: (2020)

Bayesian Joint Modeling of Longitudinal and Survival Time Measurement of Hypertension Patients
por: Erango, Markos Abiso
Publicado: (2020)

Assessment and clinical course of hypocalcemia in critical illness
por: Steele, Tom, et al.
Publicado: (2013)

Fast approximate inference for multivariate longitudinal data
por: Hughes, David M, et al.
Publicado: (2021)

Joint models for longitudinal and time‐to‐event data in a case‐cohort design
por: Baart, Sara J., et al.
Publicado: (2019)

Dynamic predictions using flexible joint models of longitudinal and time‐to‐event data
por: Barrett, Jessica, et al.
Publicado: (2017)

Bayesian Joint Modeling of Multivariate Longitudinal and Survival Data With an Application to Diabetes Study
por: Huang, Yangxin, et al.
Publicado: (2022)

Assessing the potential for outcome reporting bias in a review: a tutorial
por: Dwan, Kerry, et al.
Publicado: (2010)

The Atrial Fibrillation Better Care pathway for managing atrial fibrillation: a review
por: Stevens, David, et al.
Publicado: (2021)

Cardiovascular drugs and COVID‐19 clinical outcomes: A living systematic review and meta‐analysis
por: Asiimwe, Innocent G., et al.
Publicado: (2021)

Joint modelling of longitudinal and time-to-event data with application to predicting abdominal aortic aneurysm growth and rupture
por: Sweeting, Michael J, et al.
Publicado: (2011)

Population Pharmacokinetic Model and Meta-analysis of Outcomes of Amphotericin B Deoxycholate Use in Adults with Cryptococcal Meningitis
por: Stott, Katharine E., et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_5g8s8di9ubjqkk4isd93al6no6