Andrew Gelman: probably one of most well known stats bloggers. Hates frequentist concepts like “Type I error.” Some people think he’s a hater/troll.
Frequentists (or related)
Deborah Mayo: Error statistics: committed defender of frequentists approaches; promotes an updated version involving “severe testing.”
Data Colada: coined term “p-hacking”; major player in reproducibility topics. Uses frequentist approaches to show the problems with p-values.
Scientist Sees Squires: Committed frequentist ecologist; blogs on stats related stuff fairly regularly, among many other interesting things.
Simply Statistics: (I believe biologists; covers issues of general stats interests)
Ecologists: Dynamic Ecology stats blog posts
Dynamic Ecology covers a wide range of topics and frequently discusses issues of stats and reproducibility.
- Statistical machismo (using a bigger model than you need to)
- Ecologists need to do a better job of prediction – part I – the insidious evils of ANOVA
- Why AIC appeals to ecologists lowest instincts (why AIC falls into the same trap as p
- Mark McPeek, editor at The American Naturalist, talks trash about R: The Best Statistical Software For A Scientist To Use (I think he is entirely and unequivocally wrong b/c he’s comparing apples to organges – SAS’ base functionality with the universe of custom R packages. The proper comparison is between custom SAS macros written by scientists & R packages. Brian McGill from DynamicEcology, however, agrees with him, but I think Brian is making the same incorrect comparison).
- Deep Thoughts & Silliness (at Occam’s Typewrite)
Visualization & Plotting
- Minitab: Looks good but I have not read; many topics look related to issues encountered in manufacturing.
- The Analysis Factor: Usually short but always contain good advice.