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Statistical Modeling, Causal Inference, and Social Science
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Last updated about 6 hours ago
Epidemiologist Donna Spiegelman sez: SUTVA is “mostly not necessary for valid causal estimation and inference most of the time”
about 6 hours ago
Donna Spiegelman shares this presentation she gave at the recent American Causal...
Survey Statistics: it is (still) the people
about 23 hours ago
A year and a day ago, the Survey Statistics blog series launched...
Hey, it’s more plausible than the hyperloop or the idea that UFOs are space aliens!
1 day ago
Palko points to this breakdown of a junk news story. The fake-survey-to-headline...
Noem’s Razor and why I think the concept of “unintended consequences” is overrated
2 days ago
I was thinking more about Noem’s Razor (“Never attribute to stupidity that...
“Rationally Turbulent Expectations”
3 days ago
Kent Osband writes About 15 years ago you kindly linked an article...
Against too-clever-by-half political science cynicism
4 days ago
There’s a long tradition in political science of skepticism regarding proposed quick...
15 new articles on statistical workflow!
5 days ago
Aki, Richard, Lizzie, and I put together a special issue on Statistical...
The Kappa Zoo: David Eubanks’s online monograph on rating models
6 days ago
David Eubanks writes My site is kappazoo.com, and it’s still a work...
What if scientists really were dispassionate observers, communicating ideas without irrational commitment? Look here, says AI.
6 days ago
This is Jessica. We often idealize science as proceeding primarily by the...
Statistical analysis recapitulates the development of statistical methods
6 days ago
We ran this a few years ago but it remains interesting so...
No, Bayes does not like Mayor Pete. (Pitfalls of using implied betting market odds to estimate electability.)
7 days ago
This one’s from 2019, but it’s worth reposting given recent interest in...
Survey Statistics: double-plus robustness
8 days ago
Meng (2022) pops up a lot here: “it is the people” (the...