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 it1
avalonOpen source, in R and Stata. Each page states what has shipped and what is in build.
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.