At MSNBC, a Professor as TV Host Admin 2012-02-13 At MSNBC, a Professor as TV Host ...

Tukey, Design Thinking, and Better Questions April 30, 2020 Roger Peng ...

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 ...

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 ...

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 ...

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 ...

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 ...