[R] "R is not a validated software package.."
Sicotte, Hugues Ph.D.
Sicotte.Hugues at mayo.edu
Fri Jun 8 16:40:59 CEST 2007
People, don't get angry at the pharma statistician, he is just trying to
abide by an FDA requirement that is designed to insure that test perform
reliably the same. There is no point in getting into which product is
better. As far as the FDA rules are concerned a validated system beats a
"better" system any day of the week.
Here is your polite answer.
You can develop and try your software in R.
Should they need to use those results in a report that will matter to
the FDA, then you can work together with him to set up a validated
environment for S-plus. You then have to commit to port your code to
As I assume that you do not work in a regulated environment, you
probably wouldn't have access to a validated SAS environment anyways. It
is not usually enough to install a piece of software, you have to
validate every step of the installation. Since AFAIK the FDA uses
S-plus, it would be to your pharma person's advantage to speed-up
submissions if they also had a validated S-plus environment.
From: r-help-bounces at stat.math.ethz.ch
[mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Wensui Liu
Sent: Friday, June 08, 2007 9:24 AM
To: Giovanni Parrinello
Cc: r-help at stat.math.ethz.ch
Subject: Re: [R] "R is not a validated software package.."
I like to know the answer as well.
To be honest, I really have hard time to understand the mentality of
clinical trial guys and rather believe it is something related to job
On 6/8/07, Giovanni Parrinello <parrinel at med.unibs.it> wrote:
> Dear All,
> discussing with a statistician of a pharmaceutical company I received
> this answer about the statistical package that I have planned to use:
> As R is not a validated software package, we would like to ask if it
> would rather be possible for you to use SAS, SPSS or another approved
> statistical software system.
> Could someone suggest me a 'polite' answer?
> dr. Giovanni Parrinello
> External Lecturer
> Medical Statistics Unit
> Department of Biomedical Sciences
> Viale Europa, 11 - 25123 Brescia Italy
> Tel: +390303717528
> Fax: +390303717488
> email: parrinel at med.unibs.it
> [[alternative HTML version deleted]]
> R-help at stat.math.ethz.ch mailing list
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
A lousy statistician who happens to know a little programming
R-help at stat.math.ethz.ch mailing list
PLEASE do read the posting guide
and provide commented, minimal, self-contained, reproducible code.
More information about the R-help