3 papers
stat.ME2023
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…
stat.ME2023
survextrap: a package for flexible and transparent survival extrapolation
Christopher Jackson
Health policy decisions are often informed by estimates of long-term survival based primarily on short-term data. A range of methods are available to include longer-term informatio…
stat.AP2023
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…