Thanks, I had totally missed this controversy but from quick read of summary
the impact on open source analysis was unclear.Can you explain the punchline? I
think many users of R have concluded the biggest problem in most analyses
isfirst getting the data and then verfiying any results you derive, both issues
that sound related to your post.
( The jumble below is illustrative of what hotmail has been doing with plain
text, getting plain data withoutall the formatting junk is a recurring problem
LOL).
----------------------------------------
> Date: Mon, 26 Mar 2012 22:38:56 +0100 >
From: iaingallagher@btopenworld.com > To:
gunter.berton@gene.com; r-help@r-project.org >
Subject: Re: [R] Completely Off Topic:Link to IOM report on
use of "-omics" tests in clinical trials > >
I followed this case while it was
ongoing. > > > It was a very interesting
example of basic mistakes but also (for me) of journal
politicking. > > > Keith Baggerly and
Kevin Coombes wrote a great paper - "DERIVING CHEMOSENSITIVITY FROM CELL
LINES: FORENSIC BIOINFORMATICS AND REPRODUCIBLE RESEARCH IN HIGH-THROUGHPUT
BIOLOGY" in The Annals of Applied Statistics (2009, Vol. 3, No. 4,
1309–1334) which explains some of the background and investigative
work they had to do to bring those mistakes to light.!
> > >
Best > >
iain > > > > ----- Original
Message ----- > From: Bert Gunter
<gunter.berton@gene.com> > To:
r-help@r-project.org > Cc: > Sent:
Monday, 26 March 2012, 19:12 > Subject: [R]
Completely Off Topic:Link to IOM report on use of "-omics" tests in
clinical trials > > 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 ha!
s been > released. My thanks to Keith Baggerly for forwar
ding 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/pd!
b-biostatistics/pdb-ncb-home.htm > >
______________________________________________ >
R-help@r-project.org mailing list >
https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read
the posting guide
http://www.R-project.org/posting-guide.html > and provide
commented, minimal, self-contained, reproducible
code. > > >
______________________________________________ >
R-help@r-project.org mailing list >
https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read
the posting guide
http://www.R-project.org/posting-guide.html > and provide
commented, minimal, self-contained, reproducible code.
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