8 Statistics
This page provides a comprehensive collection of resources on statistics. Included here is a list of links to books, lectures and courses, and tutorials focused on statistics.
8.0.1 Books
- Introduction to Modern Statistics
- Causal Inference: What If (Hernan MA)
- Bayes Rules!
- Causal Inference: The Mixtape
- Seeing Theory
- Common statistical tests are linear models (or: how to teach stats)
- Modern Statistics with R
- Introduction to Probability for Data Science
- Intro to Bayesian Business Analytics
- Design and Analysis of Experiments and Observational Studies using R
- Statistical rethinking with brms, ggplot2, and the tidyverse
- Bayes Rules! An Introduction to Applied Bayesian Modeling
- Lessons in Statistical Thinking
- Think Bayes
- Think Stats
- An R companion to Statistical Thinking for the 21st Century
- Causal Inference in R
8.0.2 Personal Websites and Blogs
8.0.3 Lectures and Courses
- Statistics 110: Probability
- Statistical Computing
- The Grammar of Experimental Design
- Program Evaluation for Public Service and Research Design
- STA 363: Statistical Learning
- STA 312: Linear Models
- STA 212: Statistical Models
- Statistics 431: Advanced Statistical Computing with R
- GUide to STatistical Analysis in Microbial Ecology (GUSTA ME)
- Regression Modelling in R
8.0.4 Tutorials
- Welcome to A/B Testing at Scale Tutorial
- Causation and Correlation
- An Introduction to Hierarchical Modeling
- Tidy Statistics in R
- Statistics and R
- Tidy dataframes and statsExpressions
- Power Analysis | Introduction in R
- metrica: Prediction performance metrics
- Bayes Explained 1
- Bayes Explained 2
- CausalImpact
- How to interpret a p-value histogram
- Shiny Apps for demystifying statistical methods