siman: Explore, visualize, and analyze the output of simulation studies

• White, Ian R. ^[2] ; Marley-Zagar, Elia ^[1] ; Morris, Tim P. ^[1]
  1. [1] University College London

     University College London

     Reino Unido

     
  2. [2] UCL Innovative Clinical Trials Unit and MRC Centre of Research Excellence in Clinical Trial Innovation University College London
• Localización: The Stata journal, ISSN 1536-867X, Vol. 26, Nº. 3, 2026, págs. 398-429
• Idioma: inglés
• DOI: 10.1177/1536867X261477504
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• Resumen

  • Simulation studies are computational experiments used to evaluate the properties of statistical methods—typically methods for design or analysis. Used well, simulation studies are an invaluable tool. However, they are often complex, with multiple data-generating mechanisms, multiple estimands, and multiple methods of analysis. When one analyzes the results of such simulation studies, errors are often made and sometimes missed. Getting the analysis right can be delicate and time-consuming. In this article, we introduce siman, a suite of programs that offers data manipulation, exploration, visualization, and analysis of the results of complex simulation studies.