Source Themes

Computerised patient-specific prediction of the recovery profile of upper limb capacity within stroke services. The next step.

Journal of neurology, neurosurgery, and psychiatry, 2021

Reflections on modern methods. Dynamic prediction using joint models of longitudinal and time-to-event data.

International Journal of Epidemiology, 2021

Multivariate joint modeling to identify markers of growth and lung function decline that predict cystic fibrosis pulmonary exacerbation onset Outcomes.

BMC Pulmonary Medicine, 2020

Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes.

Stat Methods Med Res, 2020

Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines.

Biometrics, 2018

Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures.

Statistics in Medicine, 2016

Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data.

Statistical Methods in Medical Research, 2017

Joint modeling of two longitudinal outcomes and competing risk data.

Statistics in Medicine, 2014

An introduction to mixed models and joint modeling: analysis of valve function over time.

The Annals of Thoracic Surgery , 2012