The following originally appeared on The Upshot (copyright 2015, The New York Times Company) Smoking tobacco causes cancer. So does eating salted fish, drinking alcohol, breathing polluted
I mean, if you believe epidemiological evidence translates into causality… have I got a study for you. JAMA Surgery. “Marital Status and Postoperative Functional Recovery“:
It’s important to promote good research in health care, particularly if it’s relevant to policy or patient care. It’s equally important to disclose limitations of that
Rocío Titiunik thinks not, in general. The relevant question is whether big data has the potential to uncover causal relationships that could not be discovered with “small”
In his paper on big data, Hal Varian distinguishes prediction from causal inference. This is welcome. First, on prediction: Machine learning is concerned primarily with prediction; the
For this roundup of quotes, I received input from Darius Tahir and David Shaywitz. Prior TIE posts on big data are here. As always, the
Peter Kramer is a psychiatric educator and the author of the widely-read Listening to Prozac. In a recent New York Times editorial, he argues for
“Big data” is all the rage. I am curious what people think big data can do, and what some claim it will do, for health
Frontiers in Massive Data Analysis, from the National Research Council, nails some of the challenges of big data. But the challenges for massive data go
Yesterday I encouraged you to read at least the paper by Stephen West and Felix Thoemmes if not all the papers on Campbell’s and Rubin’s causal frameworks in this
Before I get to the main subject of this post, I want to encourage you to read in full the papers about the frameworks and methods
Did that get your attention? That was the intent of this story, entitled, “Study: One Hour Watching TV = Shorter Life By 22 Minutes”. It
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