Simulating data in R to improve statistical inferences

Learn how to simulate data to understand statistical significance and power, variability in effect size estimates, and Type 1 error rate inflation due to optional stopping.

 

Dr. Daniel Lakens. Photo: Private

Abstract

Learn how to simulate data to understand statistical significance and power, variability in effect size estimates, and Type 1 error rate inflation due to optional stopping. Brief introductions to power analysis, meta-analysis, and sequential analysis to help you improve your statistical inferences.

Lecturer

Workshop with Daniel Lakens, Eindhoven University of Technology.

Registration

The workshop is open to the general public, but email thomas.schubert@psykologi.uio.no for registration and requirements.

Published Dec. 16, 2016 2:51 PM - Last modified Jan. 4, 2017 11:17 AM