Re: [NMusers] forest plots in Xpose?

From: rakesh gollen <rakeshgollen_at_gmail.com>
Date: Sat, 10 Oct 2015 16:51:09 -0400

Hi,
I echo with Amit, I have used the dotplot function, and it gives with
something very much same.

Thanks
Rakesh

On Sat, Oct 10, 2015 at 4:20 PM, amit <amitvtaneja_at_hotmail.com> wrote:

>
> Dear all,
>
> As a late entrant to this discussion, indeed there are many ways to Rome.
>
> The dotplot function in R (lattice) could provide a similar visual output=
,
> though not as elegant as the Metrum approach.The metrumrg package is not
> available on the CRAN repository any longer, but on R forge.
>
> best wishes
>
> Amit Taneja
>
> Research fellow, Pharmacometrics
> Dept of Pharmacokinetics, Toxicology and Targeting
> University of Groningen
> The Netherlands
>
>
>
> > From: pascal.girard_at_merckgroup.com
> > To: pmdiderichsen_at_wequantify.com; nmusers_at_globomaxnm.com
> > Subject: RE: [NMusers] forest plots in Xpose?
> > Date: Fri, 18 Sep 2015 20:51:20 +0000
>
> >
> > Dear All,
> >
> > Thanks all for your replies. I will not reply to each. Just to say that
> of course I know that forest plots come from Meta Analysis, which by the
> way may be already familiar to clinicians.
> >
> > It has been advocated by FDA to report DDI see (Menon-Andersen D, Yu B,
> Madabushi R, Bhattaram V, Hao W, Uppoor RS, Mehta M, Lesko L, Temple R,
> Stockbridge N, Laughren T, Gobburu JV. Essential pharmacokinetic
> information for drug dosage decisions: a concise visual presentation in t=
he
> drug label. Clin Pharmacol Ther. 2011 Sep;90(3):471-4. ) and is suggested
> in Guidance doc:
> >
> http://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformatio=
n/guidances/ucm292362.pdf
> >
> http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterial=
s/Drugs/AdvisoryCommitteeforPharmaceuticalScienceandClinicalPharmacology/UC=
M370535.pdf
> >
> > I think it is an excellent way to communicate the results of covariate
> analysis, rather than giving an allometric/ power equation and a value of=
 a
> parameter that does not speak to clinicians. I agree with Ron that it
> should be clearly stated what is presented and there are several ways of
> building it. In this respect the one given in the slides of Marc Gastongu=
ay
> (thanks Andreas) is particularly appealing.
> >
> > With best regards / Mit freundlichen Grüßen / Cordialement
> >
> > Pascal
> >
> > -----Original Message-----
> > From: owner-nmusers_at_globomaxnm.com [mailto:owner-nmusers_at_globomaxnm.com=
]
> On Behalf Of Paul Matthias Diderichsen
> > Sent: 17 September 2015 09:12
> > To: nmusers_at_globomaxnm.com
> > Subject: Re: [NMusers] forest plots in Xpose?
> >
> > Ron, Pascal & NMUsers
> >
> > On 9/17/2015 2:08, Ron Keizer wrote:
> > > On a sidenote, I'm not a fan of the term "Forest plot" for these plot=
s.
> > > The "original" Forest plots show data across multiple studies (e.g. i=
n
> > > a meta-analysis), so calling it "Forest plot" could lead to confusion
> > > with statisticians or clinicians.
> >
> > I agree with Ron that Forest plots primarily exist in the meta analysis
> world.
> >
> > Pascal, maybe you are looking for "tornado plots"?
> > (https://en.wikipedia.org/wiki/Tornado_diagram)
> >
> > Here's a pointer to building a tornado plot with ggplot():
> >
> >
> http://stackoverflow.com/questions/6916698/tornado-chart-diagram-with-ggp=
lot2
> >
> > --
> > Paul Matthias Diderichsen, PhD
> > Quantitative Solutions B.V.
> > +31 624 330 706
> >
> >
> > This message and any attachment are confidential and may be privileged
> or otherwise protected from disclosure. If you are not the intended
> recipient, you must not copy this message or attachment or disclose the
> contents to any other person. If you have received this transmission in
> error, please notify the sender immediately and delete the message and an=
y
> attachment from your system. Merck KGaA, Darmstadt, Germany and any of it=
s
> subsidiaries do not accept liability for any omissions or errors in this
> message which may arise as a result of E-Mail-transmission or for damages
> resulting from any unauthorized changes of the content of this message an=
d
> any attachment thereto. Merck KGaA, Darmstadt, Germany and any of its
> subsidiaries do not guarantee that this message is free of viruses and do=
es
> not accept liability for any damages caused by any virus transmitted
> therewith.
> >
> >
> >
> > Click http://www.merckgroup.com/disclaimer to access the German,
> French, Spanish and Portuguese versions of this disclaimer.
>

Received on Sat Oct 10 2015 - 16:51:09 EDT

This archive was generated by hypermail 2.3.0 : Fri Sep 27 2019 - 16:46:36 EDT