I’ve spent the better part of my career advocating for the increased publication of code that is used in data analysis. This effort to make data analysis more reproducible is largely focused around ...

I read this really interesting paper over the break, where they had multiple analyst teams analyze the same data set and fit a model to answer the same question. This is a topic we’ve thought about a ...

What does it mean for a data analysis to fail? I’ve come to feel that this is an important question because considering the ways that data analyses can fail is a good way to prevent an analysis from ...

Russell “Taki” Shinohara was selected as 2023 Moritmer Spiegelman Award recipient. Dr. Shinohara was selected from an incredibly deep and talented pool of candidates who collectively represent the ...

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 ...

Single-cell RNA sequencing (scRNA-seq) has become one of the most widely used technologies in basic biology. With the rise of scRNA-seq, the use of UMAP has become ubiquitous in publications. While ...

In data analysis there is often a distinction between doing the data analysis and communicating the data analysis. The idea is to analyze the data and then come up with some sort of narrative that ...

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 analysis and for ...

In my previous post I pointed out a major problem with big data is that applied statistics have been left out. But many cool ideas in applied statistics are really relevant for big data analysis. So I ...

Statisticians have been pointing out the problem with dynamite plots, also known as bar and line graphs, for years. Karl Broman lists them as one of the top ten worst graphs. The problem has even been ...

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 ...