Statistical Literacy

Statistical illiteracy may lead to parents panicking about Autism.

I just was doing my morning reading of a few news sources and stumbled across this Huffington Post article talking about research correlating babies cries to autism. It suggests that the sound of a babies cries may predict their future risk for autism. As the parent of a young son, this obviously caught my attention in a very lizard-brain, caveman sort of way. I couldn’t find a link to the research paper in the article so I did some searching and found out this result is also being covered by Time, Science Daily, Medical Daily, and a bunch of other news outlets.

Sunday Data/Statistics Link Roundup (10/28/12)

An important article about anti-science sentiment in the U.S. (via David S.). The politicization of scientific issues such as global warming, evolution, and healthcare (think vaccination) makes the U.S. less competitive. I think the lack of statistical literacy and training in the U.S. is one of the sources of the problem. People use/skew/mangle statistical analyses and experiments to support their view and without a statistically well trained public, it all looks “reasonable and scientific”.

Sunday Data/Statistics Link Roundup (10/14/12)

A fascinating article about the debate on whether to regulate sugary beverages. One of the protagonists is David Allison, a statistical geneticist, among other things. It is fascinating to see the interplay of statistical analysis and public policy. Yet another example of how statistics/data will drive some of the most important policy decisions going forward.  A related article is this one on the way risk is reported in the media.

People in positions of power that don't understand statistics are a big problem for genomics

I finally got around to reading the IOM report on translational omics and it is very good. The report lays out problems with current practices and how these led to undesired results such as the now infamous Duke trials and the growth in retractions in the scientific literature. Specific recommendations are provided related to reproducibility and validation. I expect the report will improve things. Although I think bigger improvements will come as a result of retirements.

Nature is hiring a data editor...how will they make sense of the data?

It looks like the journal Nature is hiring a Chief Data Editor (link via Hilary M.). It looks like the primary purpose of this editor is to develop tools for collecting, curating, and distributing data with the goal of improving reproducible research. The main duties of the editor, as described by the ad are:  Nature Publishing Group is looking for a Chief Editor to develop a product aimed at making research data more available, discoverable and interpretable.

Statistics is not math...

Statistics depends on math, like a lot of other disciplines (physics, engineering, chemistry, computer science). But just like those other disciplines, statistics is not math; math is just a tool used to solve statistical problems. Unlike those other disciplines, statistics gets lumped in with math in headlines. Whenever people use statistical analysis to solve an interesting problem, the headline reads: “Math can be used to solve amazing problem X” or

R and the little data scientist's predicament

I just read this fascinating post on _why, apparently a bit of a cult hero among enthusiasts of the Ruby programming language. One of the most interesting bits was The Little Coder’s Predicament, which boiled down essentially says that computer programming languages have grown too complex - so children/newbies can’t get the instant gratification when they start programming. He suggested a simplified “gateway language” that would get kids fired up about programming, because with a simple line of code or two they could make the computer do things like play some music or make a video.

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 asserted by newsmakers they write about. He goes on to give a couple of examples of qualitative facts that reporters have used in stories without questioning the veracity of the claims.

The Supreme Court's interpretation of statistical correlation may determine the future of personalized medicine

Summary/Background The Supreme Court heard oral arguments last week in the case Mayo Collaborative Services vs. Prometheus Laboratories (No 10-1150). At issue is a patent Prometheus Laboratories holds for making decisions about the treatment of disease on the basis of a measurement of a specific, naturally occurring molecule and a corresponding calculation. The specific language at issue is a little technical, but the key claim from the patent under dispute is:

Citizen science makes statistical literacy critical

In today’s Wall Street Journal, Amy Marcus has a piece on the Citizen Science movement, focusing on citizen science in health in particular. I am fully in support of this enthusiasm and a big fan of citizen science - if done properly. There have already been some pretty big success stories. As more companies like Fitbit and 23andMe spring up, it is really easy to collect data about yourself (right Chris?