Latest

• Computerised patient-specific prediction of the recovery profile of upper limb capacity within stroke services. The next step.
• Reflections on modern methods. Dynamic prediction using joint models of longitudinal and time-to-event data.
• Multivariate joint modeling to identify markers of growth and lung function decline that predict cystic fibrosis pulmonary exacerbation onset Outcomes.
• Integrating Latent Classes in the Bayesian Shared Parameter Joint Model of Longitudinal and Survival Outcomes.
• Improved dynamic predictions from joint models of longitudinal and survival data with time-varying effects using P-splines.
• Bayesian shrinkage approach for a joint model of longitudinal and survival outcomes assuming different association structures.
• Combined dynamic predictions using joint models of two longitudinal outcomes and competing risk data.
• Joint modeling of two longitudinal outcomes and competing risk data.
• An introduction to mixed models and joint modeling: analysis of valve function over time.