andrew_gelman_stats andrew_gelman_stats-2014 andrew_gelman_stats-2014-2285 knowledge-graph by maker-knowledge-mining

2285 andrew gelman stats-2014-04-07-On deck this week


meta infos for this blog

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Introduction: Mon : How literature is like statistical reasoning: Kosara on stories. Gelman and Basbøll on stories. Tues : Understanding Simpson’s paradox using a graph Wed : Advice: positive-sum, zero-sum, or negative-sum Thurs : Small multiples of lineplots > maps (ok, not always, but yes in this case) Fri : “More research from the lunatic fringe” Sat : “Schools of statistical thoughts are sometimes jokingly likened to religions. This analogy is not perfect—unlike religions, statistical methods have no supernatural content and make essentially no demands on our personal lives. Looking at the comparison from the other direction, it is possible to be agnostic, atheistic, or simply live one’s life without religion, but it is not really possible to do statistics without some philosophy.” Sun : I was wrong . . .


Summary: the most important sentenses genereted by tfidf model

sentIndex sentText sentNum sentScore

1 Mon : How literature is like statistical reasoning: Kosara on stories. [sent-1, score-0.208]

2 This analogy is not perfect—unlike religions, statistical methods have no supernatural content and make essentially no demands on our personal lives. [sent-4, score-0.923]

3 Looking at the comparison from the other direction, it is possible to be agnostic, atheistic, or simply live one’s life without religion, but it is not really possible to do statistics without some philosophy. [sent-5, score-0.864]


similar blogs computed by tfidf model

tfidf for this blog:

wordName wordTfidf (topN-words)

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Introduction: Mon : How literature is like statistical reasoning: Kosara on stories. Gelman and Basbøll on stories. Tues : Understanding Simpson’s paradox using a graph Wed : Advice: positive-sum, zero-sum, or negative-sum Thurs : Small multiples of lineplots > maps (ok, not always, but yes in this case) Fri : “More research from the lunatic fringe” Sat : “Schools of statistical thoughts are sometimes jokingly likened to religions. This analogy is not perfect—unlike religions, statistical methods have no supernatural content and make essentially no demands on our personal lives. Looking at the comparison from the other direction, it is possible to be agnostic, atheistic, or simply live one’s life without religion, but it is not really possible to do statistics without some philosophy.” Sun : I was wrong . . .

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Introduction: Actually, more like the next month and a half . . . I just have this long backlog so I thought I might as well share it with you: Empirical implications of Empirical Implications of Theoretical Models A statistical graphics course and statistical graphics advice What property is important in a risk prediction model? Discrimination or calibration? Beyond the Valley of the Trolls Science tells us that fast food lovers are more likely to marry other fast food lovers References (with code) for Bayesian hierarchical (multilevel) modeling and structural equation modeling Adjudicating between alternative interpretations of a statistical interaction? The most-cited statistics papers ever American Psychological Society announces a new journal Am I too negative? As the boldest experiment in journalism history, you admit you made a mistake Personally, I’d rather go with Teragram Bizarre academic spam An old discussion of food deserts Skepticism about a published cl

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Introduction: Mon : Transitioning to Stan Tues : When you believe in things that you don’t understand Wed : Looking for Bayesian expertise in India, for the purpose of analysis of sarcoma trials Thurs : If you get to the point of asking, just do it. But some difficulties do arise . . . Fri : One-tailed or two-tailed? Sat : Index or indicator variables Sun : Fooled by randomness

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Introduction: Mon: I hate polynomials Tues: Spring forward, fall back, drop dead? Wed: Bayes in the research conversation Thurs: The health policy innovation center: how best to move from pilot studies to large-scale practice? Fri: Stroopy names Sat: He’s not so great in math but wants to do statistics and machine learning Sun: Comparing the full model to the partial model

5 0.20560819 2240 andrew gelman stats-2014-03-10-On deck this week: Things people sent me

Introduction: Mon: Preregistration: what’s in it for you? Tues: What if I were to stop publishing in journals? Wed: Empirical implications of Empirical Implications of Theoretical Models Thurs: An Economist’s Guide to Visualizing Data Fri: The maximal information coefficient Sat: Problematic interpretations of confidence intervals Sun: The more you look, the more you find

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[(0, 0.113), (1, -0.011), (2, -0.059), (3, 0.008), (4, 0.025), (5, -0.026), (6, -0.094), (7, 0.003), (8, 0.006), (9, -0.052), (10, -0.067), (11, 0.276), (12, 0.102), (13, 0.201), (14, -0.012), (15, -0.047), (16, 0.015), (17, -0.004), (18, 0.071), (19, -0.038), (20, -0.037), (21, 0.028), (22, 0.006), (23, 0.062), (24, 0.026), (25, -0.044), (26, 0.042), (27, 0.094), (28, -0.053), (29, 0.02), (30, 0.034), (31, 0.04), (32, -0.001), (33, 0.059), (34, 0.037), (35, -0.03), (36, -0.026), (37, -0.014), (38, -0.032), (39, 0.008), (40, 0.042), (41, -0.032), (42, -0.036), (43, 0.018), (44, -0.004), (45, -0.003), (46, -0.028), (47, -0.02), (48, 0.014), (49, 0.014)]

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Introduction: Mon : How literature is like statistical reasoning: Kosara on stories. Gelman and Basbøll on stories. Tues : Understanding Simpson’s paradox using a graph Wed : Advice: positive-sum, zero-sum, or negative-sum Thurs : Small multiples of lineplots > maps (ok, not always, but yes in this case) Fri : “More research from the lunatic fringe” Sat : “Schools of statistical thoughts are sometimes jokingly likened to religions. This analogy is not perfect—unlike religions, statistical methods have no supernatural content and make essentially no demands on our personal lives. Looking at the comparison from the other direction, it is possible to be agnostic, atheistic, or simply live one’s life without religion, but it is not really possible to do statistics without some philosophy.” Sun : I was wrong . . .

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Introduction: Mon : Crowdstorming a dataset Tues : Ken Rice presents a unifying approach to statistical inference and hypothesis testing Wed : The health policy innovation center: how best to move from pilot studies to large-scale practice? Thurs : Heller, Heller, and Gorfine on univariate and multivariate information measures Fri : Discovering general multidimensional associations Sat : “The graph clearly shows that mammography adds virtually nothing to survival and if anything, decreases survival (and increases cost and provides unnecessary treatment)” Sun : Honored oldsters write about statistics

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Introduction: Mon : Ticket to Baaaath Tues : Ticket to Baaaaarf Wed : Thinking of doing a list experiment? Here’s a list of reasons why you should think again Thurs : An open site for researchers to post and share papers Fri : Questions about “Too Good to Be True” Sat : Sleazy sock puppet can’t stop spamming our discussion of compressed sensing and promoting the work of Xiteng Liu Sun : White stripes and dead armadillos

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Introduction: Mon : How literature is like statistical reasoning: Kosara on stories. Gelman and Basbøll on stories. Tues : Understanding Simpson’s paradox using a graph Wed : Advice: positive-sum, zero-sum, or negative-sum Thurs : Small multiples of lineplots > maps (ok, not always, but yes in this case) Fri : “More research from the lunatic fringe” Sat : “Schools of statistical thoughts are sometimes jokingly likened to religions. This analogy is not perfect—unlike religions, statistical methods have no supernatural content and make essentially no demands on our personal lives. Looking at the comparison from the other direction, it is possible to be agnostic, atheistic, or simply live one’s life without religion, but it is not really possible to do statistics without some philosophy.” Sun : I was wrong . . .

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Introduction: Jenny Anderson reports on a discussion of the practice of colleges preferential admission of children of alumni: [Richard] Kahlenberg citing research from his book “Affirmative Action for the Rich: Legacy Preferences in College Admissions” made the case that getting into good schools matters — 12 institutions making up less than 1 percent of the U.S. population produced 42 percent of government leaders and 54 percent of corporate leaders. And being a legacy helps improve an applicant’s chances of getting in, with one study finding that being a primary legacy — the son or daughter of an undergraduate alumnus or alumna — increases one’s chance of admission by 45.1 percent. I’d call that 45 percent but I get the basic idea. But then Jeffrey Brenzel of the Yale admissions office replied: “We turn away 80 percent of our legacies, and we feel it every day,” Mr. Brenzel said, adding that he rejected more offspring of the school’s Sterling donors than he accepted this year (

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