Statistical Science Blogs
A curated list of blogs, websites, and resources by statisticians and researchers whose work I regularly read and recommend.
Academic Statisticians
Andrew Gelman
Bayesian statistics, political science, research methods
Statistical Modeling, Causal Inference, and Social Science
Frank Harrell
Biostatistics, regression modeling, study design
Statistical Thinking
Sander Greenland
Causal inference, epidemiologic methods, statistics reform
Publications
Stephen Senn
Clinical trials, pharmaceutical statistics
Stephen Senn’s Blog
Deborah Mayo
Philosophy of statistics, severe testing
Error Statistics Philosophy
Applied Statistics & Data Science
Hadley Wickham
R programming, data visualization, tidyverse
Hadley Wickham
Yihui Xie
R Markdown, knitr, reproducible research
Yihui Xie
Julia Silge
Machine learning, R programming, tidymodels
Julia Silge
David Robinson
Data science, R programming, statistics
Variance Explained
Roger Peng
Biostatistics, data science, R programming
Simply Statistics
Methodological & Theoretical
Epidemiology & Medicine
Miguel Hernán
Causal inference, epidemiologic methods
CAUSALab
Darren Dahly
Clinical epidemiology, research methods
Cork Statistics
Gideon Meyerowitz-Katz
Epidemiology, public health
Health Nerd
Organizations & Resources
American Statistical Association
Professional statistics organization
ASA
Royal Statistical Society
UK statistics society
RSS
International Biometric Society
Biometry and biostatistics
IBS
Society for Epidemiologic Research
Epidemiologic research
SER
Note : This list reflects resources I personally find valuable. Inclusion does not imply endorsement of all views expressed on these sites. Last updated: r Sys.Date().
Have a suggestion for this list? Contact me with your recommendations.
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