Resources

This Google folder contains any cool papers or other things we talk about at meetings!

Cool stats podcasts!
Quantitude, Casual Inference, Nullius in Verba (about science in general)

List of cool people doing interesting stuff regarding stats/experiment design
Richard McElreath
QuantPsych
Daniel Lakens and his blog, the 20% Statistician
Ben Bolker
Judea Pearl
David Spiegelhalter and his open access stats course with video lectures!
Mika Braginsky

Book recommendations!
The Effect, The Book of Why, Bayesian Workflow, Doing Bayesian Analysis, The Art of Uncertainty

ASA, online courses, other educational materials!
ASA (student membership is only $30 and you get access to free webinars and a magazine!)
The Carpentries free lessons on computational skills!
Great free Python course from MIT
The UMB Center for Statistical Computing hosts workshops and can be contacted for stats help!
Jarrett’s advanced stats course is a bottomless pit of resources!
Recommended IBM Python course
Joe Blitzstein’s famous stats 101 course (lots of resources here too!)

Fun datasets:
Chicago rat-hole dataset of rats
Palmer Penguins (better than irises!)

Software-related:
sdmTMB package for patial and spatiotemporal GLMMs with TMB, R-INLA for Bayesian inference (and inlabru for more spatial modeling), tidybayes for visualizing and modeling Bayesian things
Tutorial on Shared Response Modeling (analysis method for pulling meaningful info from timeseries, EEG, fMRI, or eyetracking data)
Tutorial on using Github!