Simulating time-to-event data from parametric distributions, custom distributions, competing-risks models, and general multistate models

Michael J. Crowther ()
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Michael J. Crowther: Karolinska Institutet

Stata Journal, 2022, vol. 22, issue 1, 3-24

Abstract: In this article, I describe some substantial extensions to the survsim command for simulating survival data. survsim can now simulate survival data from a parametric distribution, a custom or user-defined distribution, a fitted merlin model, a specified cause-specific hazards competing-risks model, or a spec- ified general multistate model (with multiple timescales). Left-truncation (delayed entry) is now also available for all settings. I illustrate the survsim command with some examples, demonstrating the huge flexibility that can be used to better eval- uate statistical methods.

Keywords: survsim; survival analysis; Monte Carlo simulation; flexible parametric survival models; time to event; time to censoring; clinical trials; competing-risks models; multistate models; merlin (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1177/1536867X221083853

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