Repeated measurements on the same people, where observations within a person are not independent. A mixed model separates the population trend from each person's departure from it, which is what keeps the interval around that trend honest.
Also called mixed models, multilevel modelling, repeated measures.
Learn it3
Joint modelling of longitudinal and survival data Longitudinal data and mixed-effects models 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 through3
The evidence19
- A Framework for the Estimation of Quality-Adjusted Life-Years Using Joint Models of Longitudinal and Survival Data.
- Studying the association between longitudinal nondense breast tissue measurements and the risk of breast cancer: a joint modeling approach.
- Multivariate Generalized Linear Mixed-Effects Models for the Analysis of Clinical Trial–Based Cost-Effectiveness Data.
- Frailty trajectories in three longitudinal studies of aging: Is the level or the rate of change more predictive of mortality?.
- merlin – a unified framework for data analysis and methods development in Stata.
- Mixed effects models for healthcare longitudinal data with an informative visiting process: a Monte Carlo simulation study.
Where it decided something1
Work with us
Joint modelling servicesConsultancy from the people who wrote the methods and the software.