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help > RE: false positives cluster level of inference
Nov 23, 2017 03:11 AM | Stephen L. - Coma Science Group, GIGA-Consciousness, Hospital & University of Liege
RE: false positives cluster level of inference
There is a validation paper on cluster-based correction methods
that indicate that 800 iterations are enough to converge. So the
default of 1000 iterations in CONN is fine, but of course for
publication the more the better, so 10000 would be more than safe I
guess.
Here is the paper: Pernet, C. R., Latinus, M., Nichols, T. E., & Rousselet, G. A. (2015). Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study. Journal of neuroscience methods, 250, 85-93.
Here is the paper: Pernet, C. R., Latinus, M., Nichols, T. E., & Rousselet, G. A. (2015). Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study. Journal of neuroscience methods, 250, 85-93.
Threaded View
| Title | Author | Date |
|---|---|---|
| Mary Newsome | Jul 5, 2016 | |
| Jeff Browndyke | Jul 11, 2016 | |
| Alfonso Nieto-Castanon | Jul 13, 2016 | |
| David White | Jul 8, 2016 | |
| Roger Mateu | Jul 12, 2016 | |
| Stephen L. | Nov 23, 2017 | |
| Alfonso Nieto-Castanon | Jul 5, 2016 | |