andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-124 knowledge-graph by maker-knowledge-mining
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Introduction: See here for latest rant.
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same-blog 1 0.99999994 124 andrew gelman stats-2010-07-02-Note to the quals
Introduction: See here for latest rant.
2 0.16571489 928 andrew gelman stats-2011-09-27-Hey, look over here! Another rant!
Introduction: Bigshot establishment dude Peter Orszag thinks bigshot establishment dudes don’t have enough power. (Also politically related but not a rant: Joe McCarthy Versus Powerman and the Debt-Ceiling Destroyers, Part One. )
3 0.15228179 90 andrew gelman stats-2010-06-16-Oil spill and corn production
Introduction: See here .
4 0.14627542 1437 andrew gelman stats-2012-07-31-Paying survey respondents
Introduction: I agree with Casey Mulligan that participants in government surveys should be paid, and I think it should be part of the code of ethics for commercial pollsters to compensate their respondents also. As Mulligan points out, if a survey is worth doing, it should be worth compensating the participants for their time and effort. P.S. Just to clarify, I do not recommend that Census surveys be made voluntary, I just think that respondents (who can be required to participate) should be paid a small amount. P.P.S. More rant here .
5 0.11977585 342 andrew gelman stats-2010-10-14-Trying to be precise about vagueness
Introduction: I recently saw this article that Stephen Senn wrote a couple of years ago, criticizing Bayesian sensitivity analyses that relied on vague prior distributions. I’m moving more and more toward the idea that Bayesian analysis should include actual prior information, so I generally agree with his points. As I used to say when teaching Bayesian data analysis, a Bayesian model is modular, and different pieces can be swapped in and out as needed. So you might start with an extremely weak prior distribution, but if it makes a difference it’s time to bite the bullet and include more information. My only disagreement with Senn’s paper is in its recommendation to try the so-called fixed-effects analysis. Beyond the difficulties with terminology (the expressions “fixed” and “random” effects are defined in different ways by different people in the literature; see here for a rant on the topic which made its way into some of my articles and books), there is the problem that, when a model ge
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same-blog 1 0.8848682 124 andrew gelman stats-2010-07-02-Note to the quals
Introduction: See here for latest rant.
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Introduction: See here .
3 0.67372215 1314 andrew gelman stats-2012-05-12-More on Uncle Woody
Introduction: Here . See also here . He did Wacky Packs!
Introduction: See page 179 here for Gowa’s review from 1986. And here’s my version (from 2008).
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Introduction: Susan points me to this . But I don’t really see the point. Simply leaning the bike against the wall seems like a better option to me.
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same-blog 1 0.83342993 124 andrew gelman stats-2010-07-02-Note to the quals
Introduction: See here for latest rant.
2 0.80657977 1233 andrew gelman stats-2012-03-27-Pushback against internet self-help gurus
Introduction: Having been annoyed for awhile at those in-your-face internet gurus such as Seth Godin, Clay Shirky, Philip Greenspun, Jeff Jarvis, I was happy to come across this bit of Godin-bashing from Tom Slee. I’m sure Godin has some valuable insights, but I hate that in-your-face style, and I’m glad to see someone go to the trouble of pointing out all the nonsensical bits.
Introduction: She was assigned to teach a class in “evidence-based medicine”! ( link from my usual news source). I wonder what was in the syllabus? If anyone has a copy, feel free to send to me and I will post it here. My favorite part of the story, though, is this: Almost all physician assistant students refused to comment to a reporter Tuesday, saying they’d been told by the department not to talk to media. Talk about obedience to authority! They’re studying in a program that offers nonexistent courses, but then they follow the department’s gag order.
4 0.54940796 1791 andrew gelman stats-2013-04-07-Scatterplot charades!
Introduction: What are the x and y-axes here ? P.S. Popeye nails it (see comments).
Introduction: Paul Pudaite writes in response to my discussion with Bartels regarding effect sizes and measurement error models: You [Gelman] wrote: “I actually think there will be some (non-Gaussian) models for which, as y gets larger, E(x|y) can actually go back toward zero.” I [Pudaite] encountered this phenomenon some time in the ’90s. See this graph which shows the conditional expectation of X given Z, when Z = X + Y and the probability density functions of X and Y are, respectively, exp(-x^2) and 1/(y^2+1) (times appropriate constants). As the magnitude of Z increases, E[X|Z] shrinks to zero. I wasn’t sure it was worth the effort to try to publish a two paragraph paper. I suspect that this is true whenever the tail of one distribution is ‘sufficiently heavy’ with respect to the tail of the other. Hmm, I suppose there might be enough substance in a paper that attempted to characterize this outcome for, say, unimodal symmetric distributions. Maybe someone can do this? I think i
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