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Simulation studies in Python

May 28 @ 2:00 pm - 4:00 pm

Rackham Building, Earl Lewis Room, 3rd Floor East

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.

Details

Date:
May 28
Time:
2:00 pm - 4:00 pm
Event Category:

Venue

Rackham Building, Earl Lewis Room, 3rd Floor East
915 E. Washington St.
Ann Arbor, MI 48109 United States

Organizer

CSCAR
Email:
cscar@umich.edu
Website:
cscar.research.umich.edu

Other

Presenter(s)
Kerby Shedden
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