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A 2021 How-to Talks by Postdocs Event

Presenter: 

Sean Koebley

Description:

We've all heard about the serious limitations of frequentist statistics: p-hacking, misinterpreted results, and unmet assumptions of normality, etc.. Bayesian statistics presents an alternative. In Bayesian statistics, using the powerful simplicity of Bayes' theorem and modern computational muscle, the credibility of candidate parameter values is robustly reallocated to be most consistent with the data. In this seminar, after a brief introduction to the fundamentals of Bayesian statistics, we will apply our knowledge to that workhorse of experimental design: a comparison between two groups. We will execute both a standard t-test and a Bayesian estimation to determine the difference between groups, then compare the results.

More information:

If special accommodations are needed, or to register offline, please call (804) 827-2646 at least 3 business days prior to the event. Please contact Stacey Wahl at swahl@vcu.edu with any other questions. 

This How-to Talks by Postdocs session is co-sponsored by the Health Sciences Library, Wright Center for Clinical and Translational Research, and VCU Postdoctoral Association.

Virginia Commonwealth University is an equal opportunity/affirmative action employer.

Registration is required. After registering participants will receive the class URL via email.