Using simulation studies to evaluate statistical methods

Simulation studies are computer experiments that involve creating data by pseudo-random sampling. A key strength of simulation studies is the ability to understand the behavior of statistical methods because some "truth" (usually some parameter/s of interest) is known from the process of generating the data. This allows us to consider properties of methods, such as bias. While widely used, simulation studies are often poorly designed, analyzed, and reported. This tutorial outlines the rationale for using simulation studies and offers guidance for design, execution, analysis, reporting, and presentation. In particular, this tutorial provides a structured approach for planning and reporting simulation studies,…

• MR
  Medical Research Council

  Awards: MR/P015433/1, MC_UU_12023/21, MC_UU_12023/29, MC_UU_12023/21, MR/P015433/1, grant numbers MC_UU_12023/21 and MC_UU_12023/29, MC_UU_12023/29