Re: forest plots in Xpose?

On Sat, Oct 10, 2015 at 4:20 PM, amit <[email protected]> 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: [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. >