Next Kölner R User Meeting: Friday, 26 Feburary 2016

February 23, 2016
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Next Kölner R User Meeting: Friday, 26 Feburary 2016

The 17th Cologne R user group meeting is scheduled for this Friday, 26 February 2016. We have two talks, followed by networking drinks. Introduction to Bayesian Regression Models using Stan with the brms package - Paul-Christian Bürkner (Uni Münster)...

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Business Intelligence and Data Science Groups in East Tennessee

February 22, 2016
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The Knoxville area has four groups that help people learn about business intelligence and data science. The Knoxville R Users Group (KRUG) focuses on the free and open source R language. Each meeting begins with a bit of socializing followed … Continue reading →

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Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF

February 22, 2016
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Advanced Analytics Software’s Most Important Feature? Gartner Says it’s VCF

The IT research firm, Gartner, Inc. has released its February 2016 report, Magic Quadrant for Advanced Analytics Platforms. The report’s main graph shows the completeness of each company’s vision plotted against its ability to achieve that vision (Figure 1.) I … Continue reading →

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Too big to fail: Why it’s unrealistic to expect scientific journals to retract their huge backlog of erroneous papers

February 22, 2016
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Too big to fail:  Why it’s unrealistic to expect scientific journals to retract their huge backlog of erroneous papers

I couple years ago I wrote an article, “It’s too hard to publish criticisms and obtain data for replication.” I gave two examples demonstrating the struggles of myself and others to get journals to admit errors. The problem is that the standards for post-publication review are higher than for pre-publication review. You can find an […] The post Too big to fail: Why it’s unrealistic to expect scientific journals to…

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Too big to fail: Why it’s unrealistic to expect scientific journals to retract their huge backlog of erroneous papers

February 22, 2016
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Too big to fail:  Why it’s unrealistic to expect scientific journals to retract their huge backlog of erroneous papers

I couple years ago I wrote an article, “It’s too hard to publish criticisms and obtain data for replication.” I gave two examples demonstrating the struggles of myself and others to get journals to admit errors. The problem is that the standards for post-publication review are higher than for pre-publication review. You can find an […] The post Too big to fail: Why it’s unrealistic to expect scientific journals to…

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Hillary 1993: Largest Drop in Girl Names EVER; Chelsea Distant Second

February 22, 2016
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Hillary 1993: Largest Drop in Girl Names EVER; Chelsea Distant Second

Recently, I wrote an little post that got a lot of attention and some criticism, As First Lady, Popularity of Babies Named "Hillary" Dropped by an Unprecedented 90%.The attention was likely due to the large number of people who are attempting to evaluate Hillary Clinton as a viable general election candidate. These people might rightly or wrongly assume that measures of popularity from her as First Lady are at least…

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On deck this week

February 22, 2016
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We got some good stuff coming down the pike: Mon: Too big to fail: Why it’s unrealistic to expect erroneous scientific papers to be retracted Tues: An apology and a note on Stockholm Syndrome Wed: All that really important statistics stuff that isn’t in the statistics textbooks Thurs: Who falls for the education reform hype? […] The post On deck this week appeared first on Statistical Modeling, Causal Inference, and…

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Create dummy variables in SAS

February 22, 2016
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Create dummy variables in SAS

A dummy variable (also known as indicator variable) is a numeric variable that indicates the presence or absence of some level of a categorical variable. The word "dummy" does not imply that these variables are not smart. Rather, dummy variables serve as a substitute or a proxy for a categorical […] The post Create dummy variables in SAS appeared first on The DO Loop.

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more e’s [and R’s]

February 21, 2016
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more e’s [and R’s]

Alex Thiéry suggested debiasing the biased estimate of e by Rhee and Glynn truncated series method, so I tried the method to see how much of an improvement (if any!) this would bring. I first attempted to naïvely implement the raw formula of Rhee and Glynn with a (large) Poisson distribution on the stopping rule […]

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"Learning Dynamics of Complex Systems from High-Dimensional Datasets" (This Week at the Statistics Seminar)

February 21, 2016
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Attention conservation notice: Only of interest if (1) you care about statistics and complex systems, and (2) will be in Pittsburgh on Wednesday. Sumanta Basu, "Learning Dynamics of Complex Systems from High-Dimensional Datasets" Abstract: The pr...

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Fast analysis, soft statistics, and junk data intake is unrelated to research quality for 0% of American scientists

February 21, 2016
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Under the heading, “Yet another bad analysis making the rounds,” John Mount writes: This won’t waste much of your time—because there really isn’t much there. But I thought you would be disturbed by this new paper. Here’s my (Mount’s) commentary on what we can surmise about the methods. Mount is pretty scathing. He starts with […] The post Fast analysis, soft statistics, and junk data intake is unrelated to research…

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"Multiple Testing and Adaptive Estimation via the Sorted L-One Norm" (Next Week at the Statistics Seminar)

February 21, 2016
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Attention conservation notice: Only of interest if you (1) want to do high-dimensional regressions without claiming lots of discoveries which turn out to be false, and (2) will be in Pittsburgh on Monday. "But Cosma", I hear you asking, "how can you ...

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"Likelihood-Based Methods of Mediation Analysis in the Context of Health Disparities" (Next Week at the Statistics Seminar)

February 21, 2016
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Attention conservation notice: Only of interest if you (1) care about evidence on how inequality matters for health, and (2) will be in Pittsbrugh on Tuesday. Therri Usher, "Likelihood-Based Methods of Mediation Analysis in the Context of Health Dis...

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"Learning Dynamics of Complex Systems from High-Dimensional Datasets"

February 21, 2016
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Attention conservation notice: Only of interest if (1) you care about statistics and complex systems, and (2) will be in Pittsburgh on Wednesday. Abstract: The problem of learning interrelationships among the components of large, complex systems ...

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The empty middle: why no one is average

February 20, 2016
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The empty middle: why no one is average

In 1945, a Cleveland newspaper held a contest to find the woman whose measurements were closest to average. This average was based on a study of 15,000 women by Dr. Robert Dickinson and embodied in a statue called Norma by Abram Belskie. Out of 3,864 contestants, no one was average on all nine factors, and fewer than 40 […]

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Deconstructing the Fisher-Neyman conflict wearing fiducial glasses (continued)

February 20, 2016
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Deconstructing the Fisher-Neyman conflict wearing fiducial glasses (continued)

This continues my previous post: “Can’t take the fiducial out of Fisher…” in recognition of Fisher’s birthday, February 17. I supply a few more intriguing articles you may find enlightening to read and/or reread on a Saturday night Move up 20 years to the famous 1955/56 exchange between Fisher and Neyman. Fisher clearly connects Neyman’s adoption of […]

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“Don’t get me started on ‘cut’”

February 20, 2016
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Brendan Rocks writes: I have a request for a blog post. I’ve been following the debates about ‘cut’ on the Stan lists over the last few years. Lots of very clever people agree that it’s bad news, which is enough to put me off. However, I’ve never fully groked the reasoning. [I think that should […] The post “Don’t get me started on ‘cut'” appeared first on Statistical Modeling, Causal…

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Big Business Backs Hillary: Small Bernie

February 20, 2016
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Big Business Backs Hillary: Small Bernie

Big business, lawyers, and the financial sector are the largest campaign backers of Hillary Clinton. Collectively they represent 35.5 million dollars donated to her campaign, 38% of total itemized funds donated to the Clinton campaign in 2015. Bernie S...

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Fabrication in survey research!

February 20, 2016
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Fabrication in survey research!

Mike Spagat writes: I think some of your loyal readers will be interested in this conference on fabrication in survey research. You certainly have covered this topic from time to time but I think it would be fair to say that it’s still a little bit too far under the radar screen. The LaCour experience […] The post Fabrication in survey research! appeared first on Statistical Modeling, Causal Inference, and…

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bayesboot: An R package for doing the Bayesian bootstrap

February 19, 2016
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bayesboot: An R package for doing the Bayesian bootstrap

I recently wrapped up a version of my R function for easy Bayesian bootstrappin’ into the package bayesboot. This package implements a function, also named bayesboot, which performs the Bayesian bootstrap introduced by Rubin in 1981. The Bayesian ...

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I wish Napoleon Bonaparte had never been born

February 19, 2016
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I wish Napoleon Bonaparte had never been born

Not just for all the usual good reasons why the world needs fewer mass murderers, but also for the very specific reason that, had there been no Napoleon, there’d be no Napoleon-in-Russia graph, then no shining example for Ed Tufte to illustrate how people should make their graphs, then maybe graph-makers wouldn’t all feel that […] The post I wish Napoleon Bonaparte had never been born appeared first on Statistical…

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Where I will be in the next few weeks

February 19, 2016
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Where I will be in the next few weeks

It's awfully quiet here lately as I am trying to manage a tight schedule. The problem with a tight schedule is the absence of "slack." Without slack, just one little unexpected event ruins your schedule. Like dominoes, everything gets pushed...

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Legally Rig An Election: A Citizen’s Guide to Gerrymandering

February 18, 2016
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Legally Rig An Election: A Citizen’s Guide to Gerrymandering

You are running for class president against a pimpled-nosed, blond barbarian. You have given your best speech and your obnoxious opponent has given his best speech. The teacher is about to call on the class to vote! The time of reckoning is upon you...

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