Blog Archives

“The Dark Side of Power Posing”

July 23, 2016
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Shravan points us to this post from Jay Van Bavel a couple years ago. It’s an interesting example because Bavel expresses skepticism about the “power pose” hype but he makes the same general mistake of Carney, Cuddy, Yap, and other researchers in this area in that he overreacts to every bit of noise that’s been […] The post “The Dark Side of Power Posing” appeared first on Statistical Modeling, Causal…

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When do statistical rules affect drug approval?

July 22, 2016
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When do statistical rules affect drug approval?

Someone writes in: I have MS and take a disease-modifying drug called Copaxone. Sandoz developed a generic version​ of Copaxone​ and filed for FDA approval. Teva, the manufacturer of Copaxone, filed a petition opposing that approval (surprise!). FDA rejected Teva’s petitions and approved the generic. My insurance company encouraged me to switch to the generic. […] The post When do statistical rules affect drug approval? appeared first on Statistical Modeling,…

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Ioannidis: “Evidence-Based Medicine Has Been Hijacked”

July 21, 2016
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The celebrated medical-research reformer has a new paper (sent to me by Keith O’Rourke; official published version here), where he writes: As EBM [evidence-based medicine] became more influential, it was also hijacked to serve agendas different from what it originally aimed for. Influential randomized trials are largely done by and for the benefit of the […] The post Ioannidis: “Evidence-Based Medicine Has Been Hijacked” appeared first on Statistical Modeling, Causal…

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Going beyond confidence intervals

July 20, 2016
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Anders Lamberg writes: In an article by Tom Sigfried, Science News, July 3 2014, “Scientists’ grasp of confidence intervals doesn’t inspire confidence” you are cited: “Gelman himself makes the point most clearly, though, that a 95 percent probability that a confidence interval contains the mean refers to repeated sampling, not any one individual interval.” I […] The post Going beyond confidence intervals appeared first on Statistical Modeling, Causal Inference, and…

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Bayesian Linear Mixed Models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

July 19, 2016
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This article by Tanner Sorensen, Sven Hohenstein, and Shravan Vasishth might be of interest to some of you. The post Bayesian Linear Mixed Models using Stan: A tutorial for psychologists, linguists, and cognitive scientists appeared first on Statistica...

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No, Google will not “sway the presidential election”

July 19, 2016
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Grrr, this is annoying. A piece of exaggerated science reporting hit PPNAS and was promoted in Politico, then Kaiser Fung and I shot it down (“Could Google Rig the 2016 Election? Don’t Believe the Hype”) in our Daily Beast column last September. Then it appeared again this week in a news article in the Christian […] The post No, Google will not “sway the presidential election” appeared first on Statistical…

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Moving statistical theory from a “discovery” framework to a “measurement” framework

July 18, 2016
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Avi Adler points to this post by Felix Schönbrodt on “What’s the probability that a significant p-value indicates a true effect?” I’m sympathetic to the goal of better understanding what’s in a p-value (see for example my paper with John Carlin on type M and type S errors) but I really don’t like the framing […] The post Moving statistical theory from a “discovery” framework to a “measurement” framework appeared…

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On deck this week

July 18, 2016
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Mon: Moving statistical theory from a “discovery” framework to a “measurement” framework Tues: Bayesian Linear Mixed Models using Stan: A tutorial for psychologists, linguists, and cognitive scientists Wed: Going beyond confidence intervals Thurs: Ioannidis: “Evidence-Based Medicine Has Been Hijacked” Fri: What’s powdery and comes out of a metallic-green cardboard can? Sat: “The Dark Side of […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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“Pointwise mutual information as test statistics”

July 17, 2016
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Christian Bartels writes: Most of us will probably agree that making good decisions under uncertainty based on limited data is highly important but remains challenging. We have decision theory that provides a framework to reduce risks of decisions under uncertainty with typical frequentist test statistics being examples for controlling errors in absence of prior knowledge. […] The post “Pointwise mutual information as test statistics” appeared first on Statistical Modeling, Causal…

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You can post social science papers on the new SocArxiv

July 17, 2016
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I learned about it from this post by Elizabeth Popp Berman. The temporary SocArxiv site is here. It is connected to the Open Science Framework, which we’ve heard a lot about in discussions of preregistration. You can post your papers at SocArxiv right away following these easy steps: Send an email to the following address(es) […] The post You can post social science papers on the new SocArxiv appeared first…

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