Gay persuasion update

April 7, 2016
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Gay persuasion update

Hey, did you hear about that study last year, where some researchers claimed to find that a 20-minute doorstep conversation with skeptical voters could change views on same-sex marriage? It was published in the tabloids and featured on This American Life? And it turned out it was all a fraud, that one of the authors […] The post Gay persuasion update appeared first on Statistical Modeling, Causal Inference, and Social…

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Selection bias, or, some things are better off left unsaid

April 7, 2016
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I got two of these in the same day! 1. A colleague emails me that a colleague emailed him regarding a study on women in the workplace. The headline conclusion is: “Corporate America is not on a path to gender equality.” My colleague’s colleague writes: This coincides with my prior beliefs, but for exactly that […] The post Selection bias, or, some things are better off left unsaid appeared first…

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Advanced Bayesian Modelling with BUGS course

April 7, 2016
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Advanced Bayesian Modelling with BUGS course

This is a(nother!) short course on Bayesian statistics $-$ it's about advanced modelling using BUGS (not the one in the picture to the left, though...) and it's being held at the MRC Biostatistics Unit in Cambridge, next month. The ...

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The Econometric Game – Update

April 7, 2016
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The Econometric Game – Update

From the website of The Econometric GameRevealing of the Econometric Game Case.Today at the grand opening of the Econometric Game:The case makers have revealed this year's theme: Socioeconomic inequity in health care use among elderly Europeans.The cas...

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Links: Scott Klein on the History of Data Journalism

April 7, 2016
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Links: Scott Klein on the History of Data Journalism

The history of data journalism goes back much farther than most people assume. Long before computers or punch cards, and before even the first newspapers the way we know them today, data was being published. ProPublica’s Scott Klein has been digging up a lot of interesting history. He wrote an article for this year’s Malofiej book, which he … Continue reading Links: Scott Klein on the History of Data Journalism

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Not So Standard Deviations Episode 13 – It’s Good that Someone is Thinking About Us

April 7, 2016
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In this episode, Hilary and I talk about the difficulties of separating data analysis from its context, and Feather, a new file format for storing tabular data. Also, we respond to some listener questions and Hilary announces her new job. If you have ...

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Postdoc in Alabama on obesity-related research using statistics

April 6, 2016
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David Allison writes: UAB’s Office of Energetics (http://www.soph.uab.edu/energetics/home) seeks a post-doctoral fellow with statistical training for a fellowship in obesity-related research as part of a highly interactive collaborative interdisciplinary team. · Collaborative Style: We are seeking a good-spirited team-player who gets along well with others from diverse intellectual, social, and demographic backgrounds and who enjoys […] The post Postdoc in Alabama on obesity-related research using statistics appeared first on Statistical…

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These celebrity photos are incredible: Type S errors in use!

April 6, 2016
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These celebrity photos are incredible:  Type S errors in use!

Kaveh sends along this, from a recent talk at Berkeley by Katherine Casey: It’s so gratifying to see this sort of thing in common use, only 15 years after Francis and I introduced the idea (and see also this more recent paper with Carlin). The p...

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Generate points uniformly inside a d-dimensional ball

April 6, 2016
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Generate points uniformly inside a d-dimensional ball

Last week I showed how to generate random points uniformly inside a 2-d circular region. That article showed that the distance of a point to the circle's center cannot be distributed uniformly. Instead, you should use the square root of a uniform variate to generate 2-D distances to the origin. […] The post Generate points uniformly inside a d-dimensional ball appeared first on The DO Loop.

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Statistical rethinking [book review]

April 5, 2016
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Statistical rethinking [book review]

Statistical Rethinking: A Bayesian Course with Examples in R and Stan is a new book by Richard McElreath that CRC Press sent me for review in CHANCE. While the book was already discussed on Andrew’s blog three months ago, and [rightly so!] enthusiastically recommended by Rasmus Bååth on Amazon, here are the reasons why I […]

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Best Disclaimer Ever

April 5, 2016
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Paul Alper sends this in, from the article, “Ovarian cancer screening and mortality in the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS): a randomised controlled trial,” by Ian J Jacobs, Usha Menon, Andy Ryan, Aleksandra Gentry-Maharaj, Matthew Burnell, Jatinderpal K Kalsi, Nazar N Amso, Sophia Apostolidou, Elizabeth Benjamin, Derek Cruickshank, Danielle N Crump, Susan […] The post Best Disclaimer Ever appeared first on Statistical Modeling, Causal Inference, and Social…

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Book review: The Truthful Art by Alberto Cairo, and the Enduring Problem of Statistical Illiteracy

April 5, 2016
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Book review: The Truthful Art by Alberto Cairo, and the Enduring Problem of Statistical Illiteracy

I have been looking forward to reading Alberto Cairo’s new book since he started teasing about it last year. I enjoyed his first book, The Functional Art, mostly because we share the desire to bring the design and the analytical...

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Somebody’s reading our research.

April 5, 2016
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Somebody’s reading our research.

See footnote 10 on page 5 of this GAO report. (The above graphs are just for age 45-54, which demonstrates an important thing about statistical graphics: They should be as self-contained as possible. Otherwise when the graph is separated from its ca...

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Companies are Countries, Academia is Europe

April 5, 2016
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I’ve been thinking a lot recently about the practice of data analysis in different settings and how the environment in which you work can affect the view you have on how things should be done. I’ve been working in academia for over 12 years now. I ...

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Le Monde puzzle [#956]

April 4, 2016
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Le Monde puzzle [#956]

A Le Monde mathematical puzzle with little need of R programming but ending up being rather fascinating: Does there exist a function f from N to N such that (i) f is (strictly) increasing, (ii) f(n)≥n, and (iii) f²(n)=f(f(n))=3n? Indeed, the three constraints imply (a) f²(0)=0, hence that that f(0)=0, (b) f(1)=2 as it can be […]

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The Econometric Game, 2016

April 4, 2016
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The Econometric Game, 2016

Last December I posted about the upcoming 2016 round of The Econometric Game.You'll find links in that post to other posts in previous years.Well, the Game is almost up on us. If you're not familiar with it, here's the overview from  the EG websit...

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“A strong anvil need not fear the hammer”

April 4, 2016
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“A strong anvil need not fear the hammer”

Wagenmakers et al. write: A single experiment cannot overturn a large body of work. . . . An empirical debate is best organized around a series of preregistered replications, and perhaps the authors whose work we did not replicate will feel inspired to conduct their own preregistered studies. In our opinion, science is best served […] The post “A strong anvil need not fear the hammer” appeared first on Statistical…

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On deck this week

April 4, 2016
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Mon: “A strong anvil need not fear the hammer” Tues: Best Disclaimer Ever Wed: These celebrity photos are incredible: Type S errors in use! Thurs: Selection bias, or, some things are better off left unsaid Fri: John Yoo blogging Sat: You won’t be able to forget this one: Alleged data manipulation in NIH-funded Alzheimer’s study […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Football managers on the hot seat

April 4, 2016
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Football managers on the hot seat

Chris Y. asked how to read this BBC Sports graphic via Twitter: These are managers of British football (i.e. soccer) teams. Listed are some of the worst tenures of some managers. But what do the numbers mean? The character "V"...

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The WHERE clause in SAS/IML

April 4, 2016
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The WHERE clause in SAS/IML

In SAS procedures, the WHERE clause is a useful way to filter observations so that the procedure receives only a subset of the data to analyze. The IML procedure supports the WHERE clause in two separate statements. On the USE statement, the WHERE clause acts as a global filter. The […] The post The WHERE clause in SAS/IML appeared first on The DO Loop.

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A question about software for an online survey

April 4, 2016
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Michael Smith writes: I have a research challenge and I was hoping you could spare a minute of your time. I hope it isn’t a bother—I first came across you when I saw your post on how psychology researchers can learn from statisticians. I figure even if you don’t know the answer to this question, […] The post A question about software for an online survey appeared first on Statistical…

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When Choice Modeling Paradigms Collide: Features Presented versus Features Perceived

April 3, 2016
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When Choice Modeling Paradigms Collide: Features Presented versus Features Perceived

What is the value of a product feature? Within a market-based paradigm, the answer is the difference between revenues with and without the feature. A product can be decomposed into its features, each feature can be assigned a monetary value by includin...

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For Opening Day

April 3, 2016
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From John Lardner: A young ex-paratrooper visited Ebbets Field, Brooklyn, one day, and addressed some language, as ball fans will, to Mr. Leo Durocher, the Brooklyn manager, himself the most polite and clean-tongued gentleman in the national pastime when his mouth is shut, which is a hypothetical situation. I should really stop here because this […] The post For Opening Day appeared first on Statistical Modeling, Causal Inference, and Social…

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