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A guide to robust statistical methods in neuroscience

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Version 2 2017-11-29, 10:30
Version 1 2017-06-21, 05:38
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posted on 2017-11-29, 10:30 authored by Rand WilcoxRand Wilcox, Guillaume RousseletGuillaume Rousselet
This package provides data, code and notebooks to reproduce the analyses and figures in:

Wilcox, R.R. & Rousselet, G.A. (2018)
A Guide to Robust Statistical Methods in Neuroscience
Curr Protoc Neurosci, 82.
https://doi.org/10.1002/cpns.41

The general goal was to describe and illustrate some of the many improved methods for comparing groups and studying associations. General suggestions are made about which methods perform relatively well. Installing the required R functions is described in our paper. Code is provided to reproduce all the figures in the paper. All the figures are also included in pdf format. We also include notebooks describing extra simulations on power and type I error in different situations.


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