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RE: forest plots in Xpose?

From: Pascal Girard <pascal.girard>
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 the drug label. Clin Pharmacol Ther. 2011 Sep;90(3):471-4. ) and is suggested in Guidance doc:

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 Gastonguay (thanks Andreas) is particularly appealing.

With best regards / Mit freundlichen Grüßen / Cordialement


-----Original Message-----
From: [] On Behalf Of Paul Matthias Diderichsen
Sent: 17 September 2015 09:12
To: nmusers
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 plots.
> The "original" Forest plots show data across multiple studies (e.g. in
> 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"?

Here's a pointer to building a tornado plot with ggplot():

Paul Matthias Diderichsen, PhD
Quantitative Solutions B.V.
+31 624 330 706

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Received on Fri Sep 18 2015 - 16:51:20 EDT

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