List of methods and statistics publications. Full list on Google scholar.

Rousselet GA, Pernet CR, Wilcox RR (2019) The percentile bootstrap: a primer with step-by-step instructions in R
[Preprint] [Reproducibility package] [GitHub]

Rousselet GA, Pernet CR, Wilcox RR (2019) A practical introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations
[Preprint] [Reproducibility package] [GitHub]

Rousselet, G.A. & Wilcox R.R. (2020) Reaction times and other skewed distributions: problems with the mean and the median DOI: [PDF] [Preprint] [Reproducibility package] [Reply article from Jeff Miller] [Open review of Miller’s reply]

Wilcox, R., Rousselet, G., Pernet, C. (2018) Improved Methods for Making Inferences About Multiple Skipped Correlations Journal of Statistical Computation and Simulation DOI: 10.1080/00949655.2018.1501051 [PDF] [Preprint] [Reproductibility package]

Wilcox, R. & Rousselet, G. (2018) A guide to robust statistical methods in neuroscience Current Protocols in Neuroscience 82: 8.42.1–8.42.30. doi: 10.1002/cpns.41 [PDF] [Preprint] [Reproducibility package]

Rousselet, G., Pernet, C. & Wilcox, R. (2017) Beyond differences in means: robust graphical methods to compare two groups in neuroscience European Journal of Neuroscience 46(2):1738-1748. doi: 10.1111/ejn.13610 [PDF] [Preprint] [Reproducibility package]

R.A.A. Ince, B.L. Giordano, C. Kayser, G.A. Rousselet, J. Gross, P.G. Schyns (2016) A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula Human Brain Mapping doi: 10.1002/hbm.23471 [PDF] [Preprint] [Reproducibility package]

Rousselet, G. (2016) Introduction to robust estimation of ERP data figshare [slides + code]

Rousselet, G.A., Foxe, J.J. & Bolam, J.P. (2016) A few simple steps to improve the description of group results in neuroscience European Journal of Neuroscience [PDF] [Reproducibility package]

Ince RAA, van Rijsbergen NJ, Thut G, Rousselet GA, Gross J, Panzeri S, Schyns PG (2015) Tracing the Flow of Information Content in an Algorithmic Brain Network Scientific communications 5, Article number: 17681 doi:10.1038/srep17681 [PDF]

Pernet CR, Latinus M, Nichols TE, Rousselet GA (2014) Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study Journal of Neuroscience Methods doi: 10.1016/j.jneumeth.2014.08.003 [PDF] [Preprint]

Pernet CR, Wilcox R & Rousselet GA (2013) Robust correlation analyses: false positive and power validation using a new open source Matlab toolbox Frontiers in Psychology 3:606. doi: 10.3389/fpsyg.2012.00606 [PDF] [toolbox] [toolbox: development version]

Rousselet GA & Pernet CR (2012) Improving standards in brain-behaviour correlation analyses Frontiers in Human Neuroscience 6:119. doi: 10.3389/fnhum.2012.00119 [PDF]

Rousselet GA (2012) Does filtering preclude us from studying ERP time-courses Frontiers in Psychology 3:131. doi: 10.3389/fpsyg.2012.00131 [PDF]

Rousselet GA, Pernet CR, Caldara R and Schyns PG (2011) Visual object categorisation in the brain: what can we really learn from ERP peaks? Frontiers in Human Neuroscience 5:156. doi: 10.3389/fnhum.2011.00156 [PDF]

Pernet CR, Sajda P and Rousselet GA (2011) Single-trial analyses: why bother? Frontiers in Psychology 2:322. doi: 10.3389/fpsyg.2011.00322 [PDF]

Gaspar CM, Rousselet GA and Pernet CR (2011) Reliability of ERP and single-trial analyses NeuroImage 58(2):620-9 [PDF]

Rousselet GA and Pernet CR (2011) Quantifying the time course of visual object processing using ERPs: it’s time to up the game Frontiers in Psychology 2:97. doi: 10.3389/fpsyg.2011.00107 [PDF]

Pernet CR, Chauveau N, Gaspar CM and Rousselet GA (2011) LIMO EEG: a toolbox for hierarchical LInear MOdeling of ElectroEncephaloGraphic data Computational Intelligence and Neuroscience vol. 2011, Article ID 831409, 11 pages. doi:10.1155/2011/831409 [PDF] [dataset] [toolbox]