andrew_gelman_stats andrew_gelman_stats-2014 andrew_gelman_stats-2014-2237 knowledge-graph by maker-knowledge-mining

2237 andrew gelman stats-2014-03-08-Disagreeing to disagree


meta infos for this blog

Source: html

Introduction: I was going to post yet one more discussion of our discussion of the discussion of the discussion of some paper that I don’t really care about, but then I was like, aaaahh, what’s the point? So instead here’s a pointer to the first paper I ever published. It’s the very last one on this list . The backstory is here , and here’s a poorly labeled graph for you to laugh at: Enjoy.


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 I was going to post yet one more discussion of our discussion of the discussion of the discussion of some paper that I don’t really care about, but then I was like, aaaahh, what’s the point? [sent-1, score-2.523]

2 So instead here’s a pointer to the first paper I ever published. [sent-2, score-0.91]

3 The backstory is here , and here’s a poorly labeled graph for you to laugh at: Enjoy. [sent-4, score-1.41]


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tfidf for this blog:

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Introduction: I was going to post yet one more discussion of our discussion of the discussion of the discussion of some paper that I don’t really care about, but then I was like, aaaahh, what’s the point? So instead here’s a pointer to the first paper I ever published. It’s the very last one on this list . The backstory is here , and here’s a poorly labeled graph for you to laugh at: Enjoy.

2 0.13325678 1170 andrew gelman stats-2012-02-16-A previous discussion with Charles Murray about liberals, conservatives, and social class

Introduction: From 2.5 years ago . Read all the comments; the discussion is helpful.

3 0.13135582 710 andrew gelman stats-2011-05-14-Missed Friday the 13th Zombie Plot Update

Introduction: The revised paper plot13.pdf Slightly improved figures figure13.pdf And just the history part from my thesis – that some find interesting. (And to provide a selfish wiki meta-analysis entry pointer) JustHistory.pdf I have had about a dozen friends read this or earlier versions – they split into finding it interesting (and pragmatic) versus incomprehensible. The reason for that may or may not point to ways to make it clearer. K?

4 0.096069105 953 andrew gelman stats-2011-10-11-Steve Jobs’s cancer and science-based medicine

Introduction: Interesting discussion from David Gorski (which I found via this link from Joseph Delaney). I don’t have anything really to add to this discussion except to note the value of this sort of anecdote in a statistics discussion. It’s only n=1 and adds almost nothing to the literature on the effectiveness of various treatments, but a story like this can help focus one’s thoughts on the decision problems.

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Introduction: Discussion by a panel of experts at the Statistics Forum .

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Introduction: I was going to post yet one more discussion of our discussion of the discussion of the discussion of some paper that I don’t really care about, but then I was like, aaaahh, what’s the point? So instead here’s a pointer to the first paper I ever published. It’s the very last one on this list . The backstory is here , and here’s a poorly labeled graph for you to laugh at: Enjoy.

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Introduction: Jeff Leek writes: I just wrote this post about what the 5 most influential papers in statistics from 2000-2010. I would be really curious to know your list too? Scarily enough I can’t think of any truly influential papers from that decade. I suppose this means I’m getting old! P.S. I did once make a list of the top 5 unpublished papers in statistics .

3 0.66403693 631 andrew gelman stats-2011-03-28-Explaining that plot.

Introduction: With some upgrades from a previous post . And with a hopefully clear 40+ page draft paper (see page 16). Drawing Inference – Literally and by Individual Contribution.pdf Comments are welcome, though my reponses may be delayed. (Working on how to best render the graphs.) K? p.s. Plot was modified so that it might be better interpreted without reading any of the paper – though I would not suggest that – reading at least pages 1 to 17 is recomended.

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Introduction: Jeff pointed me to this article by Nick Berry. It’s kind of fun but of course if you know your opponent will be following this strategy you can figure out how to outwit it. Also, Berry writes that ETAOIN SHRDLU CMFWYP VBGKQJ XZ is the “ordering of letter frequency in English language.” Indeed this is the conventional ordering but nobody thinks it’s right anymore. See here (with further discussion here ). I wonder what corpus he’s using. P.S. Klutz was my personal standby.

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Introduction: Peter Thall writes: Some years ago, after I gave a talk at Columbia that you attended, you told me that you would like to see a decision-theoretic analysis formulated and carried out to completion by Donald Berry, who had been quite vocal for some time about the importance of such a “fully Bayesian” analysis. I do not work with Berry. But, in recent years I have begun to do utility-based clinical trial design. The trial described in the attached paper [by Thall and Hoang Nguyen] enrolled its first child very recently. While the methodology is not terribly sophisticated, I consider this to be one of the most ethical trials that I have designed. The utility was elicited from the two trial PIs. When we had the pre-trial start-up meeting, a third oncologist looked hard at the utility table, and he said that he agreed completely with the numerical utilities. I doubt that this trial will cure this type of brain tumor, but I do think that the design gives the children a better

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Introduction: I was going to post yet one more discussion of our discussion of the discussion of the discussion of some paper that I don’t really care about, but then I was like, aaaahh, what’s the point? So instead here’s a pointer to the first paper I ever published. It’s the very last one on this list . The backstory is here , and here’s a poorly labeled graph for you to laugh at: Enjoy.

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Introduction: This , sent in by Ben Bolker, is just tooooo funny. Click on the above image to see more clearly. In addition to the quote I used in the above title, there’s also this: +10.000 correlations/min Sooner than later, your future discovery will pop up. and this: The most relevant conclusions in your scientific paper are concealed under the experimental data but you simply cannot see them. All they need is to pipe in a Mechanical Turk request form on one end and a Psychological Science submission form on the other, and they’ll have the complete package!

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Introduction: Someone sent me an email with the subject line “A terrible infographic,” and it went on from there: “Given some of your recent writing on infovis, I thought you might get a kick out of this . . . I’m certainly sympathetic to their motivations, but some of these plots do not aid understanding… To pick on a few in particular, the first plot attached, cropped from the infographic, is a strange alternative to a bar plot. For the second attachment, I still don’t understand what they’ve plotted. . . .” I agree with everything he wrote, but this point I think I’m getting too exhausted to laugh at graphs unless there is an obvious political bias to point to.

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