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

2012-03-27 Thread Mike Marchywka





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).






#62; Date#58; Mon, 26 Mar 2012 22#58;38#58;56 #43;0100#13;#10;#62; 
From#58; iaingallagher#64;btopenworld.com#13;#10;#62; To#58; 
gunter.berton#64;gene.com#59; r-help#64;r-project.org#13;#10;#62; 
Subject#58; Re#58; #91;R#93; Completely Off Topic#58;Link to IOM report on 
use of #34;-omics#34; tests in clinical trials#13;#10;#62;#13;#10;#62; 
I followed this case while it was 
ongoing.#13;#10;#62;#13;#10;#62;#13;#10;#62; It was a very interesting 
example of basic mistakes but also #40;for me#41; of journal 
politicking.#13;#10;#62;#13;#10;#62;#13;#10;#62; Keith Baggerly and 
Kevin Coombes wrote a great paper - #34;DERIVING CHEMOSENSITIVITY FROM CELL 
LINES#58; FORENSIC BIOINFORMATICS AND REPRODUCIBLE RESEARCH IN HIGH-THROUGHPUT 
BIOLOGY#34; in The Annals of Applied Statistics #40;2009, Vol. 3, No. 4, 
1309#8211;1334#41; which explains some of the background and investigative 
work they had to do to bring those mistakes to light.!
 #13;#10;#62;#13;#10;#62;#13;#10;#62; 
Best#13;#10;#62;#13;#10;#62; 
iain#13;#10;#62;#13;#10;#62;#13;#10;#62;#13;#10;#62; - Original 
Message -#13;#10;#62; From#58; Bert Gunter 
#60;gunter.berton#64;gene.com#62;#13;#10;#62; To#58; 
r-help#64;r-project.org#13;#10;#62; Cc#58;#13;#10;#62; Sent#58; 
Monday, 26 March 2012, 19#58;12#13;#10;#62; Subject#58; #91;R#93; 
Completely Off Topic#58;Link to IOM report on use of #34;-omics#34; tests in 
clinical trials#13;#10;#62;#13;#10;#62; Warning#58; This has little 
directly to do with R, although R and related#13;#10;#62; tools #40;e.g. 
sweave and other reproducible research tools#41; have a#13;#10;#62; natural 
role to play.#13;#10;#62;#13;#10;#62; The IOM 
report#58;#13;#10;#62;#13;#10;#62; 
http#58;//www.iom.edu/Reports/2012/Evolution-of-Translational-Omics.aspx#13;#10;#62;#13;#10;#62;
 that arose out of the Duke Univ. genomics testing scandal ha!
 s been#13;#10;#62; released. My thanks to Keith Baggerly for forwar
ding this. I believe#13;#10;#62; that many R users in the medical research 
community will find this#13;#10;#62; interesting, and I hope I do not 
venture too far out of line by#13;#10;#62; passing on the link to readers of 
this list. It #42;#42;will#42;#42; have an#13;#10;#62; important impact 
on so-called Personalized Health Care #40;which I guess#13;#10;#62; affects 
all of us#41;, and open source analytical #40;statistical#41;#13;#10;#62; 
methodology is a central issue.#13;#10;#62;#13;#10;#62; For those 
interested, try the summary first.#13;#10;#62;#13;#10;#62; Best to 
all,#13;#10;#62; Bert#13;#10;#62;#13;#10;#62;#13;#10;#62; 
--#13;#10;#62;#13;#10;#62; Bert Gunter#13;#10;#62; Genentech 
Nonclinical Biostatistics#13;#10;#62;#13;#10;#62; Internal Contact 
Info#58;#13;#10;#62; Phone#58; 467-7374#13;#10;#62; 
Website#58;#13;#10;#62; 
http#58;//pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pd!
 b-biostatistics/pdb-ncb-home.htm#13;#10;#62;#13;#10;#62; 
__#13;#10;#62; 
R-help#64;r-project.org mailing list#13;#10;#62; 
https#58;//stat.ethz.ch/mailman/listinfo/r-help#13;#10;#62; PLEASE do read 
the posting guide 
http#58;//www.R-project.org/posting-guide.html#13;#10;#62; and provide 
commented, minimal, self-contained, reproducible 
code.#13;#10;#62;#13;#10;#62;#13;#10;#62; 
__#13;#10;#62; 
R-help#64;r-project.org mailing list#13;#10;#62; 
https#58;//stat.ethz.ch/mailman/listinfo/r-help#13;#10;#62; PLEASE do read 
the posting guide 
http#58;//www.R-project.org/posting-guide.html#13;#10;#62; and provide 
commented, minimal, self-contained, reproducible code.#13;#10;

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

2012-03-26 Thread 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

__
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.


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

2012-03-26 Thread Iain Gallagher
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.ber...@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 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

__
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.