Posts Tagged ‘ Uncategorized ’

The use of SAS/IML software in published research

July 6, 2015
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The use of SAS/IML software in published research

SAS/IML software is used by many SAS programmers, primarily for creating custom algorithms and macros that implement statistical analyses that are not built into any SAS procedure. I know that PROC IML is used regularly by pharmaceutical companies, by the financial and insurance industries, and by researchers in medical colleges […] The post The use of SAS/IML software in published research appeared first on The DO Loop.

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The Greek thing II

July 4, 2015
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The Greek thing II

Just few hours before Greeks head to the polls to decide on the bailout agreement, and ultimately, whether the country will stay in the euro, there is no overwhelming advantage of either side. Actually, the margin became blurred over the last three days, with the "Yes" position rehearsing a last-minute recovery. Despite this last-minute trend, … Read More →

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The Greek thing

July 4, 2015
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The Greek thing

Greeks have been quite volatile on their opinion whether they should accept or not a proposal by the country's creditors for more austerity to keep aid flowing. The polls conducted over this week look like crazy, though that "belly" was likely provoked by the anxiety on what comes next after Greece not paying IMF back. … Read More →

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The Massive Future of Statistics Education

July 3, 2015
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NOTE: This post was written as a chapter for the not-yet-released Handbook on Statistics Education.  Data are eating the world, but our collective ability to analyze data is going on a starvation diet. Everywhere you turn, data are being generated somehow. By the time you read this piece, you’ll probably have collected some data. (For

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Looks like this R thing might be for real

July 2, 2015
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Not sure how I missed this, but the Linux Foundation just announced the R Consortium for supporting the "world’s most popular language for analytics and data science and support the rapid growth of the R user community". From the Linux Foundation: The R language is used by statisticians, analysts and data scientists to unlock value

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How Airbnb built a data science team

July 1, 2015
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From Venturebeat: Back then we knew so little about the business that any insight was groundbreaking; data infrastructure was fast, stable, and real-time (I was querying our production MySQL database); the company was so small that everyone was in the loop about every decision; and the data team (me) was aligned around a singular set

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Merge observed outcomes into a list of all outcomes

July 1, 2015
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Merge observed outcomes into a list of all outcomes

When you count the outcomes of an experiment, you do not always observe all of the possible outcomes. For example, if you roll a six-sided die 10 times, it might be that the "1" face does not appear in those 10 rolls. Obviously, this situation occurs more frequently with small […] The post Merge observed outcomes into a list of all outcomes appeared first on The DO Loop.

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Introducing StataStan

June 29, 2015
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Introducing StataStan

Thanks to Robert Grant, we now have a Stata interface! For more details, see: Robert Grant’s Blog:   Introducing StataStan Jonah and Ben have already kicked the tires, and it works. We’ll be working on it more as time goes on as part of our Institute of Education Sciences grant (turns out education researchers use […] The post Introducing StataStan appeared first on Statistical Modeling, Causal Inference, and Social Science.

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An easy way to use numbers for column headers

June 29, 2015
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An easy way to use numbers for column headers

When I am computing with SAS/IML matrices and vectors, I often want to label the columns or rows so that I can better understand the data. The labels are called headers, and the COLNAME= and ROWNAME= options in the SAS/IML PRINT statement enable you to add headers for columns and […] The post An easy way to use numbers for column headers appeared first on The DO Loop.

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How public relations and the media are distorting science

June 24, 2015
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Throughout history, engineers, medical doctors and other applied scientists have helped convert  basic science discoveries into products, public goods and policy that have greatly improved our quality of life. With rare exceptions, it has taken years if not decades to establish these discoveries. And even the exceptions stand on the shoulders of incremental contributions. The researchers that

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