[R] Completely Off Topic:Link to IOM report on use of "-omics" tests in clinical trials

[Bert Gunter]

Warning: This has little directly to do with R, although R and related
tools (e.g. sweave and other reproducible research tools) have a
natural role to play.

The IOM report:

http://www.iom.edu/Reports/2012/Evolution-of-Translational-Omics.aspx

that arose out of the Duke Univ. genomics testing scandal has been
released. My thanks to Keith Baggerly for forwarding this. I believe
that many R users in the medical research community will find this
interesting, and I hope I do not venture too far out of line by
passing on the link to readers of this list. It **will** have an
important impact on so-called Personalized Health Care (which I guess
affects all of us), and open source analytical (statistical)
methodology is a central issue.

For those interested, try the summary first.

Best to all,
Bert


-- 

Bert Gunter
Genentech Nonclinical Biostatistics

Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm