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 through6
What is joint modelling? An introduction to joint modelling of longitudinal and survival data Multivariate joint longitudinal-survival models Joint longitudinal-survival models with time-dependent effects Joint longitudinal and competing risks models Joint frailty models for recurrent and terminal events
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 nondense breast tissue measurements and the risk of breast cancer: a joint modeling 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
Work with us
Joint modelling servicesConsultancy from the people who wrote the methods and the software.