A guide to robust statistical methods in neuroscience

Wilcox, R. R. and Rousselet, G. A. (2018) A guide to robust statistical methods in neuroscience. In: Gerfen, C., Holmes, A., Sibley, D., Skolnick, P. and Wray, S. (eds.) Current Protocols in Neuroscience. Wiley. ISBN 9780471142300 (doi: 10.1002/cpns.41)

Abstract

There is a vast array of new and improved methods for comparing groups and studying associations that offer the potential for substantially increasing power, providing improved control over the probability of a Type I error, and yielding a deeper and more nuanced understanding of data. These new techniques effectively deal with four insights into when and why conventional methods can be unsatisfactory. But for the non-statistician, the vast array of new and improved techniques for comparing groups and studying associations can seem daunting, simply because there are so many new methods that are now available. This unit briefly reviews when and why conventional methods can have relatively low power and yield misleading results. The main goal is to suggest some general guidelines regarding when, how, and why certain modern techniques might be used.

• Item Type: Book Sections
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Rousselet, Dr Guillaume
• Authors: Wilcox, R. R., and Rousselet, G. A.
• College/School: College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
• Publisher: Wiley
• ISBN: 9780471142300