Archive for the ‘Statistics’ Category
PAPER: How reliable are the results from functional magnetic resonance imaging?
- Current Citation:
Bennett CM, Miller MB. (in press). How reliable are the results from functional magnetic resonance imaging? Annals of the New York Academy of Sciences.
- Abstract:
Functional magnetic resonance imaging is one of the most important methods for in vivo investigation of cognitive processes in the human brain. Within the last two decades [...]
PAPER: The Principled Control of False Positives in Neuroimaging
- Current Citation:
Bennett CM, Wolford GL, Miller MB. (in press). The Principled Control of False Positives in Neuroimaging. Social Cognitive and Affective Neuroscience.
- Abstract:
An incredible amount of data is generated in the course of a functional neuroimaging experiment. The quantity of data gives us improved temporal and spatial resolution with which to evaluate [...]
The War on Fish: False Positive Horror Stories
Citizens of the Interwebs – we are in need of your assistance!
My advisor Mike Miller and I have been asked to write a commentary in a major neuroimaging journal that discusses the importance of protecting against false positives (Type I error) in fMRI. This is essentially an extension of the arguments that we made [...]
The Middle Ground in Multiple Comparisons Correction
I got a note last week from a longtime colleague seeking advice on some reviewer comments of their latest paper. In their remarks the reviewer requested that the authors revert the corrected statistical threshold back to an uncorrected level of p < 0.001. The authors were left scratching their heads, wondering how they [...]
Neuroimaging Statistics Workshop Videos
The Columbia University Department of Statistics hosted a workshop last month titled “Estimating Effects and Correlations in Neuroimaging Data”. Some great folks stopped by to give talks, including Ed Vul, Nikolas Kriegeskorte, Tor Wager, and Andrew Gelman. They recorded everything into Quicktime movies for those of us who couldn’t stop by – click [...]
Voodoo Perspectives on Psychological Science
I received my May 2009 issue of Perspectives on Psychological Science in the mail last week. This is the issue containing the original Voodoo Correlations paper along with responses from, well, just about everybody. Man, is it chock-full of debate. I don’t know if I have ever seen a journal volume published [...]
The Dangers of Double Dipping (Voodoo IV)
A new article discussing non-independence errors has arrived on the scene, and it is quite good. Nikolaus Kriegeskorte, Kyle Simmons, Patrick Bellgowan, and Chris Baker have authored a Nature Neuroscience paper called ‘Circular analysis in systems neuroscience: the dangers of double dipping‘. It is the same fundamental argument as the original Voodoo Correlations [...]
Matlab finite() function warnings
The latest version of Matlab deprecated the finite() function in favor of isfinite(). This is all fine and dandy in terms of improving the scripting language, but this change currently causes a crapalanche of warnings to be thrown as you use SPM. Usually along the lines of:
Warning: FINITE is obsolete and will be [...]
The ‘Voodoo Correlations’ saga continues
Saddle up cowpokes, and prepare yourselves, for yet another episode of Voodoo Correlations.
The latest salvo comes in the form of a reply authored by Lieberman, Berkman, and Wager. This is an invited paper that will appear in a future edition of Perspectives on Psychological Science alongside the original Vul, Harris, Winkielman, and Pashler paper.
You [...]
The “Ten Commandments of SEM”
Structural equation modeling (SEM) is a confirmatory method that allows researchers to test hypothesized relationships between variables and probe the ways that they influence each other. Rightly done it can be a very useful approach to have in your toolbox of methods. Still, true to most complicated techniques there are few ways to [...]