Multi-state models
Everything Red Door Analytics has published on multi-state models — the packages that fit it, the tools that show it, the tutorials that work it through, and where it decided something.
People move between states rather than out of one — well to ill to dead — and each arrow carries its own hazard. How long someone spends in a state, and where the cohort is at five years, are consequences of those hazards rather than separate estimands.
Also called multistate survival, illness-death models.
A narrower method under survival analysis.
Learn it2
Multi-state survival analysis Swiss Epidemiology Winter School: Competing risks & multi-state modelsTaught live by the team, online, two to three times a year.
Fit it3
merlin pendragon multistateOpen source, in R and Stata. Each page states what has shipped and what is in build.
Try it now2
Multi-state & competing-risks explorer Partitioned survival analysis explorerRuns in your browser. Nothing installed, nothing uploaded.
Worked through2
The evidence9
- Multiple imputation strategies for missing event times in a multi-state model analysis.
- Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: a simulation study.
- Exploring different research questions via complex multi-state models when using registry-based repeated prescriptions of antidepressants in women with breast cancer and a matched comparison group.
- Simulating time-to-event data from parametric distributions, custom distributions, competing-risks models, and general multistate models.
- Patient trajectories after diagnosis of diffuse large B-cell lymphoma—a multistate modelling approach to estimate the chance of lasting remission.
- Relaxing the assumption of constant transition rates in a multi-state model in hospital epidemiology.
Where it decided something1