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- The bright future of applied statistics
- Sunday data/statistics link roundup (5/12/2013, Mother's Day!)
- A Shiny web app to find out how much medical procedures cost in your state.
- Why the current over-pessimism about science is the perfect confirmation bias vehicle and we should proceed rationally
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Tag Archives: data
Why we are teaching massive open online courses (MOOCs) in R/statistics for Coursera
Editor’s Note: This post written by Roger Peng and Jeff Leek. A couple of weeks ago, we announced that we would be teaching free courses in Computing for Data Analysis and Data Analysis on the Coursera platform. At the same … Continue reading
Sunday Data/Statistics Link Roundup (7/22/12)
This paper is the paper describing how Uri Simonsohn identified academic misconduct using statistical analyses. This approach has received a huge amount of press in the scientific literature. The basic approach is that he calculates the standard deviations of mean/standard deviation … Continue reading
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Tagged coursera, data, data gravity, facebook, Rant, sunday links
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Interview with Lauren Talbot - Quantitative analyst for the NYC Financial Crime Task Force
Lauren Talbot Lauren Talbot is a quantitative analyst for the New York City Financial Crime Task Force. Before working for NYC she was an analyst at Acumen LLC and got her degree in economics from Stanford University. She is a key … Continue reading
Help me find the good JSM talks
I’m about to head out for JSM in a couple of weeks. The sheer magnitude of the conference means it is pretty hard to figure out what talks I should attend. One approach I’ve used in the past is to … Continue reading
Sunday Data/Statistics Link Roundup (7/15/12)
A really nice list of journals software/data release policies from Titus’ blog. Interesting that he couldn’t find a data/release policy for the New England Journal of Medicine. I wonder if that is because it publishes mostly clinical studies, where the … Continue reading
Motivating statistical projects
It seems like half of the battle in statistics is identifying an important/unsolved problem. In math, this is easy, they have a list. So why is it harder for statistics? Since I have to think up projects to work on … Continue reading
Posted in Uncategorized
Tagged big data, data, future of statistics, projects, statistical methods
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A plot of my citations in Google Scholar vs. Web of Science
There has been some discussion about whether Google Scholar or one of the proprietary software companies numbers are better for citation counts. I personally think Google Scholar is better for a number of reasons: Higher numbers, but consistently/adjustably higher It’s free and the data … Continue reading
Sunday data/statistics link roundup (1/29)
A really nice D3 tutorial. I’m 100% on board with D3, if they could figure out a way to export the graphics as pdfs, I think this would be the best visualization tool out there. A personalized calculator that tells … Continue reading
Sunday Data/Statistics Link Roundup
Statistics help for journalists (don’t forget to keep rating stories!) This is the kind of thing that could grow into a statisteracy page. The author also has a really nice plug for public schools. An interactive graphic to determine if you are … Continue reading
In the era of data what is a fact?
The Twitter universe is abuzz about this article in the New York Times. Arthur Brisbane, who responds to reader’s comments, asks I’m looking for reader input on whether and when New York Times news reporters should challenge “facts” that are … Continue reading
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Tagged data, fact, New York Times, opinion, statisteracy, statistical literacy
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