I have a PhD in Biostatistics with a specialty in the analysis of fMRI data. I am currently working as a Research Scientist in the lab of Russ Poldrack at Stanford University. You can check out my CV for the nitty gritty.
Handbook of Functional MRI Data Analysis by Russel A Poldrack, Jeanette Mumford and Thomas E Nichols
Get your learn on. The MumfordBrainStats YouTube channel and Tumblr covers a wide range of topics related to the analysis of fMRI data as well as some non-Neuroimaging tutorials. Here are a few examples of topic covered.
Learning Mixed Models? The MumfordBrainStats Mixed Models Series was designed to help users of lmer() in R gain more intuition about their models and includes a companion bookdown with code and examples
Mean Centering Regressors This is an old one, but a commonly asked question. Why do we mean center? Is it always necessary? This document is a quick summary of when you definitely need mean centering and when you can save yourself a few lines of code.
Just getting started with fMRI? Check out my End of Summer Cram Session.
What makes an fMRI experiment efficient? This series on efficiency of fMRI designs explains the concept and supplies code so you can design your own efficient study.
Collinearity…what is it? Is it bad? Should I orthogonalize?. The answer to the last question is a firm NO, but this series answers all of these questions and more.