SURVSIM: Stata Module to Simulate Complex Survival Data. survsim simulates survival times from parametric distributions and user-defined hazard functions. Standard distributions available include the exponential, Gompertz and Weibull. Alternatively, a user defined [log] [cumulative] hazard function can be specified, in Mata code using colon operators, with survival times generated using a combination of Gaussian quadrature and root finding techniques. Finally, survival times can be generated under cause-specific hazard models for competing risks, using standard parametric distributions. Baseline covariates and complex time-dependent effects can also be specified.Keywords: survival analysis, survival time, Weibull distribution
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Ghanbari, Saeed; Zare, Najaf; Shayan, Zahra: A practical method based on functional data analysis and single exponential smoothing to combine survival curves in meta-analysis: a simulation study (2018)
- Rutherford, Mark J.; Crowther, Michael J.; Lambert, Paul C.: The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study (2015)
- David Moriña; Albert Navarro: The R Package survsim for the Simulation of Simple and Complex Survival Data (2014) not zbMATH