Do Alcoholics Anonymous participants do better at abstinence than nonparticipants because they are more motivated? Or is it because of something inherent in the A.A.
This morning I posted about a new study on diabetes medications, based on at instrumental variables analysis. A new study suggests that a common medication for type
The study about which I wrote below is ungated at this link until Feb. 28, 2015. A new study suggests that a common medication for type 2
In “Instruments, Randomization, and Learning about Development,” Angus Deaton pulls no punches. He’s just as brutal, blunt, and precise about pitfalls and misuse of instrumental variables
In a post last week—which you should read if you don’t know what an “instrumental variable” (IV) is—I described the key assumption for a good
Though there are lots of sources to learn about instrumental variables (IV), in this post I’ll point to three papers I found particularly helpful. I’ve already
If you’re in the observational study business, this, by Anirban Basu and Kwun Chan, looks potentially useful: In the outcomes research and comparative effectiveness research literature,
There’s been some chatter about how the Oregon Medicaid study is or might be biased. That’s worth a post! There’s a precise way in which
The study I wrote about earlier this week by Hadley et al. is just one of many to apply instrumental variables (IV) to analysis of cancer
I thought I had blogged on this paper before, but I can’t find a prior post. So, here are some quotes and brief comments on Zeliadt,
A research notebook entry on an important paper follows. I’ve left out quite a bit that is more tutorial. So, the paper is more accessible
What now seems like ages ago (but was only in early April), Joe Doyle and colleagues published an NBER paper finding, in their words, that
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