Learning and Teaching Statistical Consultation

Thinking Critically about Statistics

Blog: Towards Data Science

Greenland et al.(2016): Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations

Wasserstein, Lazar(2016): ASA Statement on Statistical Significance and P-Values

Amrhein et al. (2019): Scientists rise up against statistical significance

Data Cleaning

What is Data Cleaning? Wikipedia: Data Cleansing

Tyson Barrett (R for Researchers, 2019) Ch.2 Working with and Cleaning Your Data

Casey Bates (DataQuest, 2020) Tidyverse Basics: Load and Clean Data with R tidyverse Tools

Alvira Swalin (Towards Data Science, 2018) How to Handle Missing Data

John Sullivan (Towards Data Science, 2019) Data Cleaning with R and the Tidyverse: Detecting Missing Values

Hannah Ross (Towards Data Science, 2021) Smart handling of missing data in R

Data Description

ASA: What's Going on in This Graph?

Hans Rosling (TedTalk, 2006): The Best Stats You've Ever Seen

Buro: The Basics (from STAT 151, 2022)

Holtz, Healey (website, 2018): from Data to Viz

Holtz (Blog, 2018); The R Graph Gallery

Ribecca (Blog):The Data Visualisation Catalogue

Kabakoff (2020, textbook): Data Visualization with R

RStudio (2021): Data visualization with ggplot2:: Cheat Sheet

Holtz(Blog, 2018): ggplot2

Applying Inferential Statistics

Buro (Slides, 2022): Choosing a statistical method (Short guide to most commonly used tools)

Bevans (2020): Choosing the Right Statistical Test | Types & Examples

MacEwan University (2017): Lab Manual (SPSS) for Applied Statistics 2

Basic Technical Topics worth reviewing/introducing

• Interaction between predictors in their effect on a response, Wikipedia
• Mediation Analysis, Fandom(Psychology Wiki)
• Measuring Effect size, Using Effect Size—or Why the P Value Is Not Enough
• Fundamental idea of frequentists statistics: P-values, Elements of Applied Bio Statistics: Chapter 6 P-values
• Fundamental idea of Bayesian statistics
• Principle of choosing sample size, power of a test, Sample size calculation: Basic principles
• Bootstrapping, Introduction to Bootstrapping in Statistics with an Example

Other Recommendations

ASA: Useful Books and Journals