Statistics
Topics
Primary concepts
- Mean, Median, Mode, Standard deviation, Variance, Standard error
- Correlation | Causality
- Statistical hypothesis testing | P value | Multiple comparison
- Model interpretability
Approaches
Techniques
Related fields
Maxims
Books
- The elements of statistical learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
- Probability and Statistics Cookbook by Matthias Vallentin
- STATISTICAL METHODS FOR RESEARCH WORKERS By Ronald A (1925)
- Think Stats - Probability and Statistics for Programmers
- Statistics Done Wrong
- An introduction to statistics w Python
Softwares & programming languages
- R
- Python with some packages (e.g. statsmodels)
Guides
- Nature comms: Statistics for biologists
- Reference Collection to push back against “Common Statistical Myths”
Articles
- http://golem.ph.utexas.edu/category/2010/09/fetishizing_pvalues.html
- Using python (and R) to calculate rank correlations
- What statistical analysis should I use?
- Jokes in statistics
Courses
- Introduction to Statistical Computing by Cosma Shalizi
- Advanced Quantitative research methodology by Gary King
Talks
https://www.youtube.com/watch?v=Iq9DzN6mvYA
References
- Graphical Inference for Infovis by Hadley Wickham et al., connecting Data visualization with Statistics?