andrew_gelman_stats andrew_gelman_stats-2010 andrew_gelman_stats-2010-290 knowledge-graph by maker-knowledge-mining
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Introduction: John Transue sends along a link to this software for extracting data from graphs. I haven’t tried it out but it could be useful to somebody out there?
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Introduction: Lee Wilkinson sends me this amusing ad for his new software, AdviseStat: The ad is a parody, but the software is real !
Introduction: John Transue sent it in with the following thoughtful comment: I’d imagine you’ve already received this, but just in case, here’s a cartoon you’d like. At first blush it seems to go against your advice (more nuanced than what I’m about to say by quoting the paper title) to not worry about multiple comparisons. However, if I understand correctly your argument about multiple comparisons in multilevel models, the situation in this comic might have been avoided if shrinkage toward the grand mean (of all colors) had prevented the greens from clearing the .05 threshold. Is that right?
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Introduction: Somebody asked me to speak sometime at a data visualization meetup. I think I spoke there a year or two ago but I could do it again. Last time I spoke on Infovis vs Statistical Graphics , this time I could just go thru the choices involved in a few zillion graphs I’ve published over the years, to give a sense of the options and choices involved in graphical communication. For this talk there would be no single theme (except, perhaps, my usual “Graphs as comparisons,” “All of statistics as comparisons,” and “Exploratory data analysis as hypothesis testing”), just a bunch of open discussion about what I tried, why I tried it, what worked and what didn’t work, etc. I’ve discussed these sorts of decisions on occasion (and am now writing a paper with Yair about some of this for our voting models), but I’ve never tried to make a talk out of it before. Could be fun.
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Introduction: Lee Wilkinson sends me this amusing ad for his new software, AdviseStat: The ad is a parody, but the software is real !
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Introduction: Hal Varian sends in this link to a series of educational videos described to be “a journey into the heart of statistics.” It seems to be focused on exploratory data analysis, which it describes as “an extraordinary new method of understanding ourselves and our Universe.”
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Introduction: This is pretty amazing. Now I want to hear volume 3. Also is there a way to download this as I play it so I can listen when I’m offline? P.S. Typo in title fixed. P.P.S. I originally gave a different link but was led to the apparently more definitive link above (which allows direct download) from a commenter . Thanks!
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