Introduction to robust estimation of ERP data

This data package contains the slides, Matlab m files and a dataset for an ERP workshop I gave in Washington DC, Glasgow, Fribourg, Frankfurt & Berlin. The goal of the workshop is to use hands-on exercises to introduce the basic principles and the Matlab implementation of robust estimation, using resampling methods (bootstrap & permutation) in conjunction with robust estimators. The workshop covers why classic t-tests and ANOVAs on means are not necessarily the best options, and how robust approaches can help. In particular, it demonstrates techniques to compare entire distributions, how to build confidence intervals about any quantity using the bootstrap, and how to effectively control for multiple comparisons. The methods are applied to single-subject and group analyses, and examples are provided to integrate both levels into informative figures.