Generating data from a truth you chose, so a method can be judged rather than trusted. It is how bias, coverage and power are measured, and how a study is designed before anyone is recruited.
Also called monte carlo simulation, data-generating mechanisms.
Fit it2
Try it now1
Survival DGM explorerRuns in your browser. Nothing installed, nothing uploaded.
Worked through5
Simulating survival data with a continuous time-varying covariate…the right way Joint longitudinal and competing risks models Simulation, modelling and prediction with a non-linear covariate effect Three-level survival models: IPD meta-analysis of recurrent events Probabilistic sensitivity analysis and survival models
The evidence19
- Potential bias introduced by not including multiple time-scales in survival analysis: a simulation study.
- Modeling the multi‐state natural history of rare diseases with heterogeneous individual patient data: a simulation study.
- Bayesian pairwise meta-analysis of time-to-event outcomes in the presence of non-proportional hazards: A simulation study of flexible parametric, piecewise exponential and fractional polynomial models.
- Tumour Growth Models of Breast Cancer for Evaluating Early Detection—A Summary and a Simulation Study.
- Simulating time-to-event data from parametric distributions, custom distributions, competing-risks models, and general multistate models.
- A scoping methodological review of simulation studies comparing statistical and machine learning approaches to risk prediction for time-to-event data.