Archive for the ‘Statistics’ Category
Quote of the Week – Cameron
“It would be nice if all of the data which sociologists require could be enumerated because then we could run them through IBM machines and draw charts as the economists do. However, not everything that can be counted counts, and not everything that counts can be counted.” – William Bruce Cameron, Informal Sociology: A Casual […]
Significant Differences
One of the first things you learn in an introductory psychology class is the topic of cognitive bias. These are situations or contexts in which human beings cannot reliably make effective judgements or discriminations. For instance, information that tends to confirm our own assumptions is generally judged to be correct (Confirmation Bias). Another example is […]
Spring 2010 Conference Posters
I have been remiss in uploading copies of my spring conference posters. October seems like a fine month to rectify that. Below are links to the research I presented at the Cognitive Neuroscience Society meeting in Montreal and at the Organization for Human Brain Mapping meeting in Barcelona. Both meetings were fantastic – I got […]
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 […]
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 […]
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 were going […]
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 the link […]
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 with more commentary […]
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 paper (now […]