Posts Tagged ‘ Uncategorized ’

Precision medicine may never be very precise – but it may be good for public health

January 30, 2015
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Precision medicine may never be very precise – but it may be good for public health

Editor's note: This post was originally titled: Personalized medicine is primarily a population health intervention. It has been updated with the graph of odds ratios/betas from GWAS studies. There has been a lot of discussion of personalized medicine, individualized health, and precision medicine in the news and in the medical research community and President Obama just

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The relationship between skewness and kurtosis

January 28, 2015
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The relationship between skewness and kurtosis

In my book Simulating Data with SAS, I discuss a relationship between the skewness and kurtosis of probability distributions that might not be familiar to some statistical programmers. Namely, the skewness and kurtosis of a probability distribution are not independent. If κ is the full kurtosis of a distribution and […]

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Reproducible Research Course Companion

January 26, 2015
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Reproducible Research Course Companion

I'm happy to announce that you can now get a copy of the Reproducible Research Course Companion from the Apple iBookstore. The purpose of this e-book is pretty simple. The book provides all of the key video lectures from my Reproducible Research course offered on Coursera, in a simple offline e-book format. The book can be viewed

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IF-THEN logic with matrix expressions

January 26, 2015
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IF-THEN logic with matrix expressions

In the SAS DATA step, all variables are scalar quantities. Consequently, an IF-THEN/ELSE statement that evaluates a logical expression is unambiguous. For example, the following DATA step statements print "c=5 is TRUE" to the log if the variable c is equal to 5: if c=5 then put "c=5 is TRUE"; […]

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Calling R from Scala sbt projects

January 24, 2015
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Calling R from Scala sbt projects

Overview In previous posts I’ve shown how the jvmr CRAN R package can be used to call Scala sbt projects from R and inline Scala Breeze code in R. In this post I will show how to call to R from a Scala sbt project. This requires that R and the jvmr CRAN R package […]

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RSS feeds for statistics and related journals

January 23, 2015
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RSS feeds for statistics and related journals

I’ve now resurrected the collection of research journals that I follow, and set it up as a shared collection in feedly. So anyone can easily subscribe to all of the same journals, or select a subset of them, to follow on feedly. There are about 90 journals on the list, mostly in statistics, but some from machine […]

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What is an empty matrix?

January 22, 2015
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What is an empty matrix?

At the beginning of my book Statistical Programming with SAS/IML Software I give the following programming tip (p. 25): Do not confuse an empty matrix with a matrix that contains missing values or with a zero matrix. An empty matrix has no rows and no columns. A matrix that contains […]

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Data as an antidote to aggressive overconfidence

January 21, 2015
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A recent NY Times op-ed reminded us of the many biases faced by women at work. A followup op-ed  gave specific recommendations for how to conduct ourselves in meetings. In general, I found these very insightful, but don't necessarily agree with the recommendations that women should "Practice Assertive Body Language".  Instead, we should make an effort to judge

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Gorging ourselves on "free" health care: Harvard’s dilemma

January 20, 2015
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Gorging ourselves on "free" health care: Harvard’s dilemma

Editor's note: This is a guest post by Laura Hatfield. Laura is an Assistant Professor of Health Care Policy at Harvard Medical School, with a specialty in Biostatistics. Her work focuses on understanding trade-offs and relationships among health outcomes. Dr. Hatfield received her BS in genetics from Iowa State University and her PhD in biostatistics from the University

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Finding matrix elements that satisfy a logical expression

January 20, 2015
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Finding matrix elements that satisfy a logical expression

A common task in SAS/IML programming is finding elements of a SAS/IML matrix that satisfy a logical expression. For example, you might need to know which matrix elements are missing, are negative, or are divisible by 2. In the DATA step, you can use the WHERE clause to subset data. […]

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