A guide to robust statistical methods in neuroscience

  • Rand R. Wilcox, Guillaume A. Rousselet
  • June 2017, Cold Spring Harbor Laboratory Press
  • DOI: 10.1101/151811

What is it about?

There are many robust methods that improve on classic methods for comparing groups and studying associations. A practical issue for the non-statistician is understanding the relative merits of the many techniques that are now available.

Why is it important?

Robust methods can substantially improve power and provide a deeper, more nuanced understanding of data. Moreover, the choice of method can have a tremendous impact on how data are interpreted. The paper discusses these issues and provide a guide regarding when and how robust methods might be used.

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The following have contributed to this page: Dr Rand Wilcox