Favorite statistics resources

A running list of some of my favorite online statistics resources - including blog posts, visualizations, interactive simulations, and text books. Blog posts & cheat sheets Common statistical tests are linear models: A really clear explanation of how many common statistical tests can be conceptualized as types of linear regressions. An Introduction to Hierarchical Modeling:… Continue reading Favorite statistics resources

A quick intro to block permutations and bootstraps for analyzing hierarchical data

Clustered data - such as multiple observations per individual, animal, or cell - are quite common in neuroscience research. Here I walk through an introduction to one approach to adjusting your analyses for clustering - block permutations and bootstrapping - that is widely applicable and makes very few assumptions.