Statistical Modeling (Andrew Gelman) statmodeling.stat.columbia.edu

Not quite adversarial collaboration | Statistical Modeling, Causal Inference, and Social Science

statmodeling.stat.columbia.edu·14w

OK, I reread that classic paper by Paul Meehl, and . . .

statmodeling.stat.columbia.edu·15w·Hacker News

Postdoctoral position at the University of Pennsylvania on the study of political information

statmodeling.stat.columbia.edu·15w

Survey Statistics: Total Margin of Error II

statmodeling.stat.columbia.edu·15w

How the new era of CEO supervillains are caught in their own ideology

statmodeling.stat.columbia.edu·15w·Hacker News

Machine learning research is not serious research and therefore hallucinated references are not necessarily a big deal, agrees a prestigious group of machine learning researchers

statmodeling.stat.columbia.edu·15w

Science vs. superstition and the pluralist’s dilemma

statmodeling.stat.columbia.edu·15w

Post-doc positions in Finland

statmodeling.stat.columbia.edu·15w

The myth of wage compensation for hazardous work rears its ugly head: This NYT article has been engineered to annoy economist Peter Dorman.

statmodeling.stat.columbia.edu·15w

“Harvard dean made $150,000 as witness in Tylenol suits”

statmodeling.stat.columbia.edu·15w

What’s the gender gap? Concerns about analyses using the Cooperative Election Study

statmodeling.stat.columbia.edu·15w

A decision theorist walks into a seminar

statmodeling.stat.columbia.edu·15w

This paper in Management Science has been cited more than 6,000 times. Wall Street executives, top government officials, and even a former U.S. Vice President have all referenced it. It’s fatally flawed, and the scholarly community refuses to do anything about it.

statmodeling.stat.columbia.edu·15w·Hacker News

What, a coincidence? What a coincidence!

statmodeling.stat.columbia.edu·15w

Statistical Modeling, Causal Inference, and Social Science

statmodeling.stat.columbia.edu·16w

Survey Statistics: Total Margin of Error

statmodeling.stat.columbia.edu·16w

Once more about the z-curve method

statmodeling.stat.columbia.edu·16w

Two workflow challenges from 2012 that were solved as a byproduct of something else

statmodeling.stat.columbia.edu·16w

Seeking feedback from clinicians on AI as diagnostic decision support

statmodeling.stat.columbia.edu·16w

Noem’s Razor: Never attribute to stupidity that which is adequately explained by malice.

statmodeling.stat.columbia.edu·16w

Log in to enable infinite scrolling