The best blog I've seen in a while is the blog of the Columbia research group on multilevel modelling, bayesian statistics and causal inference:
http://www.stat.columbia.edu/~cook/movabletype/mlm/
There are categories for causal inference, economics and public health, amongst others. Some stuff that caught my attention:
http://www.stat.columbia.edu/~cook/movabletype/mlm/
There are categories for causal inference, economics and public health, amongst others. Some stuff that caught my attention:
- A debate on "Treating discrete variables as if they were continuous"
- A link to a relatively new competitor called "The Causality Blog"
- A link to a recent rejoinder by Heckman where he debunks the concept of RCT as a gold standard: http://www.stat.columbia.edu/~gelman/stuff_for_blog/heckman2.pdf
- A link to an article on "Why Helmeted Cyclists Are In More Peril on The Road" - its not because they take more risks, but because drivers give them less leeway!
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