2 citations · 2 across the 3 of their papers we have counts for
3 papers
Bayesian blockwise inference for joint models of longitudinal and multistate processes
Sida Chen, Danilo Alvares, Christopher Jackson +1
Joint models (JM) for longitudinal and survival data have gained increasing interest and found applications in a wide range of clinical and biomedical settings. These models facili…
Neural Fine-Gray: Monotonic neural networks for competing risks
Vincent Jeanselme, Chang Ho Yoon, Brian Tom +1
Time-to-event modelling, known as survival analysis, differs from standard regression as it addresses censoring in patients who do not experience the event of interest. Despite com…
Optimal risk-assessment scheduling for primary prevention of cardiovascular disease
Francesca Gasperoni, Christopher H. Jackson, Angela M. Wood +4
In this work, we introduce a personalised and age-specific Net Benefit function, composed of benefits and costs, to recommend optimal timing of risk assessments for cardiovascular…