andrew_gelman_stats andrew_gelman_stats-2012 andrew_gelman_stats-2012-1359 knowledge-graph by maker-knowledge-mining
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Introduction: Xian points me to this pitiful story. I hate that these people never just say they’re sorry, for wasting everyone’s time if for nothing else.
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same-blog 1 1.0 1359 andrew gelman stats-2012-06-02-Another retraction
Introduction: Xian points me to this pitiful story. I hate that these people never just say they’re sorry, for wasting everyone’s time if for nothing else.
2 0.28980541 357 andrew gelman stats-2010-10-20-Sas and R
Introduction: Xian sends along this link that might be of interest to some of you.
3 0.18621527 467 andrew gelman stats-2010-12-14-Do we need an integrated Bayesian-likelihood inference?
Introduction: My recent article with Xian and Judith. In English. Interested readers can try to figure out which parts were written by each of the three authors (recognizing that each of us edited the whole thing).
4 0.1496895 991 andrew gelman stats-2011-11-04-Insecure researchers aren’t sharing their data
Introduction: Jelte Wicherts writes: I thought you might be interested in reading this paper that is to appear this week in PLoS ONE. In it we [Wicherts, Marjan Bakker, and Dylan Molenaar] show that the willingness to share data from published psychological research is associated both with “the strength of the evidence” (against H0) and the prevalence of errors in the reporting of p-values. The issue of data archiving will likely be put on the agenda of granting bodies and the APA/APS because of what Diederik Stapel did . I hate hate hate hate hate when people don’t share their data. In fact, that’s the subject of my very first column on ethics for Chance magazine. I have a story from 22 years ago, when I contacted some scientists and showed them how I could reanalyze their data more efficiently (based on a preliminary analysis of their published summary statistics). They seemed to feel threatened by the suggestion and refused to send me their raw data. (It was an animal experiment
5 0.13241057 1211 andrew gelman stats-2012-03-13-A personal bit of spam, just for me!
Introduction: Hi Andrew, I came across your site while searching for blogs and posts around American obesity and wanted to reach out to get your readership’s feedback on an infographic my team built which focuses on the obesity of America and where we could end up at the going rate. If you’re interested, let’s connect. Have a great weekend! Thanks. *** I have to say, that’s pretty pitiful, to wish someone a “great weekend” on a Tuesday! This guy’s gotta ratchet up his sophistication a few notches if he ever wants to get a job as a spammer for a major software company , for example.
6 0.12403185 199 andrew gelman stats-2010-08-11-Note to semi-spammers
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16 0.070949107 503 andrew gelman stats-2011-01-04-Clarity on my email policy
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20 0.060016699 430 andrew gelman stats-2010-11-25-The von Neumann paradox
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same-blog 1 0.93179363 1359 andrew gelman stats-2012-06-02-Another retraction
Introduction: Xian points me to this pitiful story. I hate that these people never just say they’re sorry, for wasting everyone’s time if for nothing else.
2 0.71685898 380 andrew gelman stats-2010-10-29-“Bluntly put . . .”
Introduction: Oof! (if you’ll forgive my reference to bowling) What’s funny to me, though, is the phrase, “she’s not nearly as smart as she seems to think she is.” I mean, doesn’t that describe most people? (Link from here .) P.S. I hate to spell things out, Jeff, but . . . I hope you caught the Douglas Ginsburg reference!
Introduction: Neil Malhotra writes: I just wanted to alert to this completely misinformed Politico article by Roger Simon, equating sampling theory with “magic.” Normally, I wouldn’t send you this, but I sent him a helpful email and he was a complete jerk about it. Wow—this is really bad. It’s so bad I refuse to link to it. I don’t know who this dude is, but it’s pitiful. Andy Rooney could do better. And I don’t mean Andy Rooney in his prime, I mean Andy Rooney right now. The piece appears to be an attempt at jocularity, but it’s about 10 million times worse than whatever the worst thing is that Dave Barry has ever written. My question to Neil Malhotra is . . . what made you click on this in the first place? P.S. John Sides piles on with some Gallup quotes.
4 0.65699607 734 andrew gelman stats-2011-05-28-Funniest comment ever
Introduction: Here (scroll down to the bottom; for some reason the link doesn’t go directly to the comment itself). I’ve never actually seen a Kaypro but I remember the ads. (Background here .)
5 0.65086693 1982 andrew gelman stats-2013-08-15-Blaming scientific fraud on the Kuhnians
Introduction: I wouldn’t go that far, but I’ll send along this article by Ahti-Veikko Pietarinen that was sent to me by Lee Sechrest. Those of you who like this sort of thing might like this sort of thing. I neither endorse nor anti-endorse. Or, I should say, I am in sympathy with the author’s general attitude but I have not looked at any of the details.
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same-blog 1 0.91175127 1359 andrew gelman stats-2012-06-02-Another retraction
Introduction: Xian points me to this pitiful story. I hate that these people never just say they’re sorry, for wasting everyone’s time if for nothing else.
2 0.8425287 1802 andrew gelman stats-2013-04-14-Detecting predictability in complex ecosystems
Introduction: A couple people pointed me to a recent article , “Detecting Causality in Complex Ecosystems,” by fisheries researchers George Sugihara, Robert May, Hao Ye, Chih-hao Hsieh, Ethan Deyle, Michael Fogarty, and Stephan Munch. I don’t know anything about ecology research but I could imagine this method being useful in that field. I can’t see the approach doing much in political science, where I think their stated goal of “identifying causal networks” is typically irrelevant. That said, if you replace the word “causality” by “predictability” everywhere in the paper, it starts to make a lot more sense. As they write, they are working within “a framework that uses predictability as opposed to correlation to identify causation between time-series variables.” Setting causation aside, predictability is an important topic in itself. The search for patterns of predictability in complex structures may motivate causal hypotheses that can be studied more directly, using more traditional statis
3 0.8340987 453 andrew gelman stats-2010-12-07-Biostatistics via Pragmatic and Perceptive Bayes.
Introduction: This conference touches nicely on many of the more Biostatistics related topics that have come up on this blog from a pragmatic and perceptive Bayesian perspective. Fourth Annual Bayesian Biostatistics Conference Including the star of that recent Cochrane TV debate who will be the key note speaker. See here Subtle statistical issues to be debated on TV. and perhaps the last comment which is my personal take on that debate. Reruns are still available here http://justin.tv/cochranetv/b/272278382 K?
Introduction: Tapen Sinha writes: Living in Mexico, I have been witness to many strange (and beautiful) things. Perhaps the strangest happened during the first outbreak of A(H1N1) in Mexico City. We had our university closed, football (soccer) was played in empty stadiums (or should it be stadia) because the government feared a spread of the virus. The Metro was operating and so were the private/public buses and taxis. Since the university was closed, we took the opportunity to collect data on facemask use in the public transport systems. It was a simple (but potentially deadly!) exercise in first hand statistical data collection that we teach our students (Although I must admit that I did not dare sending my research assistant to collect data – what if she contracted the virus?). I believe it was a unique experiment never to be repeated. The paper appeared in the journal Health Policy. From the abstract: At the height of the influenza epidemic in Mexico City in the spring of 2009, the f
5 0.82909185 46 andrew gelman stats-2010-05-21-Careers, one-hit wonders, and an offer of a free book
Introduction: J. Robert Lennon writes : At the moment I [Lennon] am simultaneously working on two magazine articles, each requiring me to assess not just a book, but (briefly) a writer’s entire career. The writers in question are both prominent, both widely published, read, and appreciated. And yet neither, I think, enjoys a full appreciation of their career–its real scope, with all its twists and turns, its eccentricities intact. In one case, the writer had one smash hit, and one notorious book everyone hates. In the other, the writer has somehow become known as the author of one really serious book that gets taught a lot in college classes, and a bunch of other stuff generally thought to be a little bit frivolous. But close readings of each (hell, not even that close) reveals these reputations to be woefully inadequate. Both writers are much more interesting than their hits and bombs would suggest. This naturally got me thinking about statisticians. Some statisticians are famous (within
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