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: [email protected] > To: [email protected]; [email protected] > 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 the drug label. > Clin Pharmacol Ther. 2011 Sep;90(3):471-4. ) and is suggested in Guidance > doc: > http://www.fda.gov/downloads/drugs/guidancecomplianceregulatoryinformation/guidances/ucm292362.pdf > http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/Drugs/AdvisoryCommitteeforPharmaceuticalScienceandClinicalPharmacology/UCM370535.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 Gastonguay (thanks > Andreas) is particularly appealing. > > With best regards / Mit freundlichen Grüßen / Cordialement > > Pascal > > -----Original Message----- > From: [email protected] [mailto:[email protected]] On > Behalf Of Paul Matthias Diderichsen > Sent: 17 September 2015 09:12 > To: [email protected] > 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"? > (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-ggplot2 > > -- > 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 any attachment from your > system. Merck KGaA, Darmstadt, Germany and any of its 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 and any attachment > thereto. Merck KGaA, Darmstadt, Germany and any of its subsidiaries do not > guarantee that this message is free of viruses and does 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.
