Posts Tagged ‘ Miscellaneous Statistics ’

Damn, I was off by a factor of 2!

December 16, 2014
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I hate when that happens. Demography is tricky. Oh well, as they say in astronomy, who cares, it was less than an order of magnitude! The post Damn, I was off by a factor of 2! appeared first on Statistical Modeling, Causal Inference, and Social Scien...

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Don’t, don’t, don’t, don’t . . . We’re brothers of the same mind, unblind

December 13, 2014
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Don’t, don’t, don’t, don’t . . . We’re brothers of the same mind, unblind

Hype can be irritating but sometimes it’s necessary to get people’s attention (as in the example pictured above). So I think it’s important to keep these two things separate: (a) reactions (positive or negative) to the hype, and (b) attitudes about the subject of the hype. Overall, I like the idea of “data science” and […] The post Don’t, don’t, don’t, don’t . . . We’re brothers of the same…

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The Fallacy of Placing Confidence in Confidence Intervals

December 11, 2014
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The Fallacy of Placing Confidence in Confidence Intervals

Richard Morey writes: On the tail of our previous paper about confidence intervals, showing that researchers tend to misunderstand the inferences one can draw from CIs, we [Morey, Rink Hoekstra, Jeffrey Rouder, Michael Lee, and EJ Wagenmakers] have another paper that we have just submitted which talks about the theory underlying inference by CIs. Our […] The post The Fallacy of Placing Confidence in Confidence Intervals appeared first on Statistical…

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Subtleties with measurement-error models for the evaluation of wacky claims

December 7, 2014
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Subtleties with measurement-error models for the evaluation of wacky claims

Paul Pudaite writes: In the latest Journal of the American Statistical Association (September 2014, Vol. 109 No. 507), Andrew Harvey and Alessandra Luati published a paper [preprint here] — “Filtering With Heavy Tails” — featuring the phenomenon you had asked about (“…(non-Gaussian) models for which, as y gets larger, E(x|y) can actually go back toward […] The post Subtleties with measurement-error models for the evaluation of wacky claims appeared first…

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Quantitative literacy is tough! Or, I had no idea that, in 1958, 96% of Americans disapproved of interracial marriage!

November 27, 2014
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Quantitative literacy is tough!  Or, I had no idea that, in 1958, 96% of Americans disapproved of interracial marriage!

Mark Palko linked to this data-rich cartoon by Randall Munroe: And I was stunned, first by the data on interracial marriage and then, retrospectively, by my earlier ignorance of these data. Was approval of interracial marriage only 4% in 1958? I had no idea. I looked it up at the Gallup site and it seems […] The post Quantitative literacy is tough! Or, I had no idea that, in 1958,…

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The hype cycle starts again

November 24, 2014
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The hype cycle starts again

Completely uncritical press coverage of a speculative analysis. But, hey, it was published in the prestigious Proceedings of the National Academy of Sciences (PPNAS)! What could possibly go wrong? Here’s what Erik Larsen writes: In a paper published in the Proceedings of the National Academy of Sciences, People search for meaning when they approach a […] The post The hype cycle starts again appeared first on Statistical Modeling, Causal Inference,…

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This is what “power = .06” looks like. Get used to it.

November 17, 2014
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This is what “power = .06” looks like.  Get used to it.

I prepared the above image for this talk. The calculations come from the second column of page 6 of this article, and the psychology study that we’re referring to is discussed here. The post This is what “power = .06” looks like. Get used ...

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“Differences Between Econometrics and Statistics” (my talk this Monday at the University of Pennsylvania econ dept)

November 9, 2014
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“Differences Between Econometrics and Statistics” (my talk this Monday at the University of Pennsylvania econ dept)

Differences Between Econometrics and Statistics:  that’s the title of the talk I’ll be giving at the econometrics workshop at noon on Monday. At 4pm in the same place, I’ll be speaking on Stan. And here are some things for people to read: For “Differences between econometrics and statistics”: Everyone’s trading bias for variance at some […] The post “Differences Between Econometrics and Statistics” (my talk this Monday at the University…

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“Differences Between Econometrics and Statistics” (my talk this Monday at the University of Pennsylvania econ dept)

November 9, 2014
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“Differences Between Econometrics and Statistics” (my talk this Monday at the University of Pennsylvania econ dept)

Differences Between Econometrics and Statistics:  that’s the title of the talk I’ll be giving at the econometrics workshop at noon on Monday. At 4pm 4:30pm in the same place, I’ll be speaking on Stan. And here are some things for people to read: For “Differences between econometrics and statistics”: Everyone’s trading bias for variance at […] The post “Differences Between Econometrics and Statistics” (my talk this Monday at the University…

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Just imagine if Ed Wegman got his hands on this program—it could do wonders for his research productivity!

November 6, 2014
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Just imagine if Ed Wegman got his hands on this program—it could do wonders for his research productivity!

Brendan Nyhan writes: I’d love to see you put some data in here that you know well and evaluate how the site handles it. The webpage in question says: Upload a data set, and the automatic statistician will attempt to describe the final column of your data in terms of the rest of the data. […] The post Just imagine if Ed Wegman got his hands on this program—it could…

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