Papers on with results from some of my favorite models from the GBD 2010 appeared this week:
Degenhardt et al, Global burden of disease attributable to illicit drug use and dependence: findings from the Global Burden of Disease Study 2010, http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(13)61530-5
Whiteford et al, Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010, http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(13)61611-6
It is just the kind of stuff to generate catchy health news headlines.
It is getting to be the season of new students, and I was inspired to round up a few links on grad school:
Advice for new students from Jennifer Rexford: https://freedom-to-tinker.com/blog/jrex/advice-new-graduate-students/
Managing your advisor by Nick Feamster: http://greatresearch.org/2013/08/14/managing-your-advisor/
A simple test for those thinking of doing a PhD: http://blog.prof.so/2013/06/test.html
I sometimes wish transitions in a data viz went more smoothly. Maybe this frame-per-second calculator can help with optimization:
I’ve been watching the next generation of PyMC come together over the last months, and there is some very exciting stuff happening. The part on GLM regression led me to a different project which is also of interest, a regression modeling minilanguage, called Patsy which “brings the convenience of R ‘formulas’ to Python.”
This package recently introduced a method for spline regression, and avoided all puns in naming. Impressive.
I had a fun little project a while back, to deal with some night noise that was getting in the way of my sleep. Active noise reduction, hacked together in Python. It really works (for me)! There is tons of room for improvement, and at least one interested party. I’m finally pushing it out into the world, so maybe someone will improve it.
Two links of relevance to those of us who love data and science:
dstk – datasciencetoolkit
pip install dstk
In case you or your students need some resources, these people seem quite happy to give them away: https://www.opensciencedatacloud.org/