Blog Archives

Exactly how risky is breathing?

January 26, 2016
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This article by by George Johnson in the NYT describes a study by Kamen P. Simonov​​ and Daniel S. Himmelstein​ that examines the hypothesis that people living at higher altitudes experience lower rates of lung cancer than people living at lower altitudes. All of the usual caveats apply. Studies like this, which compare whole populations, can

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Exactly how risky is breathing?

January 26, 2016
By

This article by by George Johnson in the NYT describes a study by Kamen P. Simonov​​ and Daniel S. Himmelstein​ that examines the hypothesis that people living at higher altitudes experience lower rates of lung cancer than people living at lower altitudes. All of the usual caveats apply. Studies like this, which compare whole populations, can

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Not So Standard Deviations Episode 8 – Snow Day

January 25, 2016
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Hilary and I were snowed in over the weekend, so we recorded Episode 8 of Not So Standard Deviations. In this episode, Hilary and I talk about how to get your foot in the door with data science, the New England Journal's view on data sharing, Google's "Cohort Analysis", and trying to predict a movie's

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Parallel BLAS in R

January 21, 2016
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I'm working on a new chapter for my R Programming book and the topic is parallel computation. So, I was happy to see this tweet from David Robinson (@drob) yesterday: How fast is this #rstats code? x <- replicate(5e3, rnorm(5e3)) x %*% t(x) For me, w/Microsoft R Open, 2.5sec. Wow. https://t.co/0SbijNxxVa — David Robinson (@drob)

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Profile of Hilary Parker

January 15, 2016
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If you've ever wanted to know more about my Not So Standard Deviations co-host (and Johns Hopkins graduate) Hilary Parker, you can go check out the great profile of her on the American Statistical Association's This Is Statistics web site. What advice would you give to high school students thinking about majoring in statistics? It’s

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Not So Standard Deviations Episode 7 – Statistical Royalty

January 12, 2016
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The latest episode of Not So Standard Deviations is out, and boy does Hilary have a story to tell. We also talk about Theranos and the pitfalls of diagnostic testing, Spotify's Discover Weekly playlist generation algorithm (and the need for human product managers), and of course, a little Star Wars. Also, Hilary and I start a

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Jeff, Roger and Brian Caffo are doing a Reddit AMA at 3pm EST Today

January 11, 2016
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Jeff, Roger and Brian Caffo are doing a Reddit AMA at 3pm EST Today

Jeff Leek, Brian Caffo, and I are doing a Reddit AMA TODAY at 3pm EST. We're happy to answer questions about...anything...including our roles as Co-Directors of the Johns Hopkins Data Science Specialization as well as the Executive Data Science Special...

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Not So Standard Deviations: Episode 6 – Google is the New Fisher

December 18, 2015
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Episode 6 of Not So Standard Deviations is now posted. In this episode Hilary and I talk about the analytics of our own podcast, and analyses that seem easy but are actually hard. If you haven't already, you can subscribe to the podcast through iTunes. This will be our last episode for 2015 so see you

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Not So Standard Deviations: Episode 5 – IRL Roger is Totally With It

December 3, 2015
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I just posted Episode 5 of Not So Standard Deviations so check your feeds! Sorry for the long delay since the last episode but we got a bit tripped up by the Thanksgiving holiday. In this episode, Hilary and I open up the mailbag and go through some of the feedback we've gotten on the

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Prediction Markets for Science: What Problem Do They Solve?

November 11, 2015
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I've recently seen a bunch of press on this paper, which describes an experiment with developing a prediction market for scientific results. From FiveThirtyEight: Although replication is essential for verifying results, the current scientific culture does little to encourage it in most fields. That’s a problem because it means that misleading scientific results, like those from the

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