Simulation studies are used to understand the properties of statistical procedures.  This technique is widely used when conducting power analysis for research studies,  which is one focus for this workshop.  Simulation studies can also be used to assess the performance of statistical procedures in non-standard settings, such as when there are concerns about missing data, selection bias, measurement errors, or model specification.  Another role for simulation studies is to contrast the performance of alternative statistical methods, e.g. for prediction.

This workshop will emphasize practical aspects of conducting simulation studies using Python, including data simulation, automation, and interpretation and communication of simulation findings.