Statistics

Topics

Primary concepts

• Mean, Median, Mode, Standard deviation, Variance, Standard error
• Correlation | Causality
• Statistical hypothesis testing | P value | Multiple comparison
• Model interpretability

Approaches

• Bayesian statistics
• Nonparametric statistics

Techniques

• Regression analysis
  • Simpson’s paradox
  • Bayesian linear regression | Logistic regression
  • Multilevel modeling | Multilevel regression with poststratification
• Cluster analysis
• Latent Dirichlet allocation

Related fields

• Machine learning
• Data science, Data analysis, Data mining

Maxims

• https://gist.github.com/johnmyleswhite/2a39dcafe881842b6441

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?