I’ve seen many claims suggesting that NIH indirect costs are wasted or used to subsidize non-research activities. However, based on my experience in budget and space allocation meetings, as well as ...

We are three biostatistics professors (Jeff Leek, Roger Peng, and Rafa Irizarry) who are fired up about the new era where data are abundant and statisticians are scientists. The views represented here ...

Local regression (loess) is one of the statistical procedures I most use. Here is a movie showing how it works ...

Depending on where you land in the political spectrum you may either love or despise Fox News. But regardless of your political affiliation, you have to recognize that their statisticians are ...

Code is a useful representation of a data analysis for the purposes of transparency and opennness. But code alone is often insufficient for evaluating the quality of a data analys ...

Developing statistical methods is hard and often frustrating work. One of the under appreciated rules in statistical methods development is what I call the 80/20 rule (maybe could even by the 90/10 ...

Green: E.P.A. Soot Rules Expected This Week Admin 2012-06-12 Green: E.P.A. Soot Rules Expected This Week ...

In In we will teach statistical techniques that are commonly used in the analysis of high-throughput data and their corresponding R implementations. In Week 1 we will explain inference in the context ...

Big Data on Campus Admin 2012-07-21 Big Data on Campus ...

For those of you that don’t know about the saga involving genomic signatures, I highly recommend reading this very good summary published in The Economist. Baggerly and Coombes are two statisticians ...

I’ve often heard that there is a need for data analysts to be creative in their work. But why? Where and how exactly is that creativity exercised? On one extreme, it could be thought that a data ...