OK, I’ve given up on theme weeks. I have enough saved-up material to do it, and it wouldn’t be too much trouble to group the scheduled posts into themes, but there doesn’t really seem to be a point. I say this because, having looked at the comment threads from the past few weeks, the comments seem pretty much tied to individual posts in any case. So I think I’ll go back to the old system where each post stands alone.
Just for fun I thought I’d run a week’s worth of old posts, just some things I came across when searching for various things. Of course I could just post the links right here but instead I’ll repost with my comments on how things have changed in the intervening years.
Mon: Empirical implications of Empirical Implications of Theoretical Models
Tues: A statistical graphics course and statistical graphics advice
Wed: What property is important in a risk prediction model? Discrimination or calibration?
Thurs: Beyond the Valley of the Trolls
Fri: Science tells us that fast food lovers are more likely to marry other fast food lovers
Sat: References (with code) for Bayesian hierarchical (multilevel) modeling and structural equation modeling
Sun: Adjudicating between alternative interpretations of a statistical interaction?
If you’re still in France, and are not averse to trains that travel underwater, you could visit the exhibition “Beautiful Science: Picturing Data, Inspiring Insight” at the British Library http://www.bl.uk/whatson/exhibitions/beautiful-science/index.html and let all of us know if it contains useful advice for statistical graphics (Tuesday’s post).
Robin
Robin:
I followed the link and I can already tell you I don’t like that plot where the time series go in a circle for each year.
Eh, it’s not that impressive from a statistical point of view: there are about 10 different visualization examples and I was in and out in 15 minutes. That said, seeing some of the old log books and the original hand-made plots was pretty cool.