A repeatedly measured biomarker and a time-to-event outcome fitted as one model, because the trajectory is what drives the risk. Measurement error is carried rather than ignored, and follow-up stops informing the trajectory when the event happens.
Also called joint modelling, joint models.
Learn it2
Joint modelling of longitudinal and survival data Summer School: Joint modelling of longitudinal and survival dataTaught live by the team, online, two to three times a year.
Fit it1
merlinOpen source, in R and Stata. Each page states what has shipped and what is in build.
Worked through5
The evidence17
- A Framework for the Estimation of Quality-Adjusted Life-Years Using Joint Models of Longitudinal and Survival Data.
- Analysis of cohort stepped wedge cluster-randomized trials with nonignorable dropout via joint modeling.
- Studying the association between longitudinal non-dense breast tissue and breast cancer risk: a joint modelling approach.
- merlin – a unified framework for data analysis and methods development in Stata.
- Jointly modelling longitudinally measured urinary human chorionic gonadotrophin and early pregnancy outcomes.
- Faster Monte Carlo estimation of semiparametric joint models for time-to-event and multivariate longitudinal data.
Where it decided something1