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Monthly Archives: May 2012
Writing software for someone else
Writing software for someone else
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Why "no one reads the statistics literature anymore"
Spurred by Rafa’s post on evaluating statisticians working in genomics, there’s an interesting discussion going on at the Scientists for Reproducible Research group on statistics journals. Evan Johnson kicks it off: …our statistics journals have little impact on how genomic data … Continue reading
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View my Statistics for Genomics lectures on Youtube and ask questions on facebook/twitter
This year I recorded my lectures during my Statistics for Genomics course. Slowly but surely I am putting all the videos on Youtube. Links will eventually be here (all slides and the first lecture is already up). As new lectures … Continue reading
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Schlep blindness in statistics
This is yet another outstanding post by Paul Graham, this time on “Schlep Blindness”. He talks about how there are great startup ideas that no one considers because they are too much of a “schlep” (a tedious unpleasant task). He … Continue reading
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Tagged applied statistics, hadley wickham, paul graham, schelp blindness, startups
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Sunday data/statistics link roundup (5/27)
Amanda Cox on the process they went through to come up with this graphic about the Facebook IPO. So cool to see how R is used in the development process. A favorite quote of mine, “But rather than bringing clarity, it … Continue reading
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Tagged Amanda Cox, bioconductor, cartoon, data visualization, github, humor, links, obama, social media, sunday links
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"How do we evaluate statisticians working in genomics? Why don't they publish in stats journals?" Here is my answer
During the past couple of years I have been asked these questions by several department chairs and other senior statisticians interested in hiring or promoting faculty working in genomics. The main difficulty stems from the fact that we (statisticians working … Continue reading
Sunday data/statistics link roundup (5/20)
It’s grant season around here so I’ll be brief: I love this article in the WSJ about the crisis at JP Morgan. The key point it highlights is that looking only at the high-level analysis and summaries can be misleading, … Continue reading
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Tagged data analysis, image, Raw data is important, Statistics is not math, sunday links
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[youtube http://www.youtube.com/watch?v=t7FJFuuvxpI?wmode=transparent&autohide=1&egm=0&hd=1&iv_load_policy=3&modestbranding=1&rel=0&showinfo=0&showsearch=0&w=500&h=375] The West Wing was always a favorite show of mine (at least, seasons 1-4, the Sorkin years) and I think this is a great scene which talks about the difference between evidence and interpretation. The topic is a … Continue reading
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Health by numbers: A statistician's challenge
Health by numbers: A statistician's challenge
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Facebook Needs to Turn Data Into Investor Gold
Facebook Needs to Turn Data Into Investor Gold
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