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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 Shinohara is awarded 2023 Mortimer Spiegelman Award Russell “Taki” Shinohara was selected as 2023 Moritmer Spiegelman Award recipient. Dr. Shinohara was selected from an incredibly deep and ...
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 ...
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 ...
Universities Do Spend Indirect Costs on Research, And It’s Still Not Enough Many, including prominent scientists, seem to misunderstand the true cost of biomedical research and the fact that ...
UMAP is a powerful tool for exploratory data analysis, but without a clear understanding of how it works, it can easily lead to confusion and misinterpretation.
Narrative Failure in Data Analysis A data analysis can fail if it doesn’t present a coherent story and “close all the doors”. Such a failure is not simply a problem with communication, but often ...
Many, including prominent scientists, seem to misunderstand the true cost of biomedical research and the fact that universities subsidize it beyond what they receive from the NIH.
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 ...
Biologists, stop putting UMAP plots in your papers UMAP is a powerful tool for exploratory data analysis, but without a clear understanding of how it works, it can easily lead to confusion and ...
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 ...
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