<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><div><blockquote type="cite"><blockquote type="cite">Jelliffe</blockquote></blockquote>Roger's (Jelliffe) discussions of the basics associated with assumptions related statistical analysis and the appropriateness of any particular data types or distributions are another indication of needing to systemically address all sorts and matters of ASSUMPTION and computational modeling. Is/are there taxonomies that capture, label, define and classify different kinds of assumptions that exist in models/modeling? Ideally with discussion of how each (type?) are typically used and more importantly, suggested standards for how to report there presence in any/all models. </div><div><br></div><div>This is not just a POPMOD issue, but is a basic issue for maturing the "science" of computational modeling as a "scientific method" of research.</div><div><br></div><div>John<br><br>Typed with two thumbs on my iPhone. (757) 318-0671<div><br></div><div><div>The master in the art of living makes little distinction between his work and his play, ,,, <span style="font-size: 13pt;">He simply pursues his vision </span><span style="font-size: 13pt;">of excellence at whatever he does, leaving others to decide whether he is working or playing."</span></div><div>James A. Michener (1907 – 1997)</div></div></div><div><br>On Oct 2, 2015, at 5:05, <a href="mailto:popmodwkgrpimag-news-request@simtk.org">popmodwkgrpimag-news-request@simtk.org</a> wrote:<br><br></div><blockquote type="cite"><div><span>Send PopModWkGrpIMAG-news mailing list submissions to</span><br><span> <a href="mailto:popmodwkgrpimag-news@simtk.org">popmodwkgrpimag-news@simtk.org</a></span><br><span></span><br><span>To subscribe or unsubscribe via the World Wide Web, visit</span><br><span> <a href="https://simtk.org/mailman/listinfo/popmodwkgrpimag-news">https://simtk.org/mailman/listinfo/popmodwkgrpimag-news</a></span><br><span>or, via email, send a message with subject or body 'help' to</span><br><span> <a href="mailto:popmodwkgrpimag-news-request@simtk.org">popmodwkgrpimag-news-request@simtk.org</a></span><br><span></span><br><span>You can reach the person managing the list at</span><br><span> <a href="mailto:popmodwkgrpimag-news-owner@simtk.org">popmodwkgrpimag-news-owner@simtk.org</a></span><br><span></span><br><span>When replying, please edit your Subject line so it is more specific</span><br><span>than "Re: Contents of PopModWkGrpIMAG-news digest..."</span><br><span></span><br><span></span><br><span>Today's Topics:</span><br><span></span><br><span> 1. Re: Population modeling (Jacob Barhak)</span><br><span></span><br><span></span><br><span>----------------------------------------------------------------------</span><br><span></span><br><span>Message: 1</span><br><span>Date: Thu, 1 Oct 2015 16:41:20 -0500</span><br><span>From: Jacob Barhak <<a href="mailto:jacob.barhak@gmail.com">jacob.barhak@gmail.com</a>></span><br><span>To: Roger Jelliffe <<a href="mailto:jelliffe@usc.edu">jelliffe@usc.edu</a>></span><br><span>Cc: "<a href="mailto:popmodwkgrpimag-news@simtk.org">popmodwkgrpimag-news@simtk.org</a>" <<a href="mailto:popmodwkgrpimag-news@simtk.org">popmodwkgrpimag-news@simtk.org</a>>,</span><br><span> "Michael N. Neely" <<a href="mailto:mneely@usc.edu">mneely@usc.edu</a>></span><br><span>Subject: Re: [Population Modeling] Population modeling</span><br><span>Message-ID:</span><br><span> <<a href="mailto:CAM_y+3Q8VjqSYTGXAv7KngW40BnLD0admErTQPBdXyBWzJfrQg@mail.gmail.com">CAM_y+3Q8VjqSYTGXAv7KngW40BnLD0admErTQPBdXyBWzJfrQg@mail.gmail.com</a>></span><br><span>Content-Type: text/plain; charset="utf-8"</span><br><span></span><br><span>Thanks Roger,</span><br><span></span><br><span>So indeed, how many modelers in this group use a similar estimation</span><br><span>approach to Roger?</span><br><span></span><br><span>Please do join this discussion regarding estimation techniques. If enough</span><br><span>of us do so, we can write a short summary like we did last year - only</span><br><span>this time focus on estimation techniques.</span><br><span></span><br><span>I hope enough of you will be interested to expose your estimation work for</span><br><span>population models this way.</span><br><span></span><br><span> Jacob</span><br><span></span><br><span></span><br><span>On Thu, Oct 1, 2015 at 4:33 PM, Roger Jelliffe <<a href="mailto:jelliffe@usc.edu">jelliffe@usc.edu</a>> wrote:</span><br><span></span><br><blockquote type="cite"><span>Dear Jacob:</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span> Thanks for your reply. Here is my two cents again.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>How many in the group use nonparametric methods for population analysis?</span><br></blockquote><blockquote type="cite"><span>These methods do not make any assumptions as to the presumed shape of the</span><br></blockquote><blockquote type="cite"><span>probability distribution of the model parameters ? they are assumption</span><br></blockquote><blockquote type="cite"><span>free, and there are no constraints at all on what that distribution can be.</span><br></blockquote><blockquote type="cite"><span>The Pmetrics software by the USC Laboratory of Applied Pharmacokinetics and</span><br></blockquote><blockquote type="cite"><span>Bioinformatics makes this software available free over <a href="http://www.lapk.org">www.lapk.org</a>.</span><br></blockquote><blockquote type="cite"><span>Actually, any system that can be described by ordinary differential</span><br></blockquote><blockquote type="cite"><span>equations can be analyzed with this software, not just</span><br></blockquote><blockquote type="cite"><span>pharmacokinetic/dynamic systems. In addition, they permit maximally</span><br></blockquote><blockquote type="cite"><span>precise control of the system (dosage regimens of drugs, for example) using</span><br></blockquote><blockquote type="cite"><span>multiple model (MM) dosage design. At the web site, you can also access</span><br></blockquote><blockquote type="cite"><span>publications and technical reports dealing with the subject. For openers,</span><br></blockquote><blockquote type="cite"><span>one might look at these references:</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>1. Bustad A, Terziivanov D, Leary R, Port R, Schumitzky A, and</span><br></blockquote><blockquote type="cite"><span>Jelliffe R: Parametric and Nonparametric Population Methods: Their</span><br></blockquote><blockquote type="cite"><span>Comparative Performance in Analysing a Clinical Data Set and Two Monte</span><br></blockquote><blockquote type="cite"><span>Carlo Simulation Studies. Clin. Pharmacokinet., 45: 365-383, 2006.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>2. Neely M, van Guilder M, Yamada W, Schumitzky A, and Jelliffe R:</span><br></blockquote><blockquote type="cite"><span>Accurate Detection of Outliers and Subpopulations with Pmetrics, a</span><br></blockquote><blockquote type="cite"><span>Nonparametric and Parametric Pharmacometric Modeling and Simulation Package</span><br></blockquote><blockquote type="cite"><span>for R. Therap. Drug Monit. 34: 467-476, 2012.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>3. Jelliffe R, Schumitzky A, Bayard D, Milman M, Van Guilder M, Wang X,</span><br></blockquote><blockquote type="cite"><span>Jiang F, Barbaut X, and Maire P: Model-Based, Goal-Oriented, Individualized</span><br></blockquote><blockquote type="cite"><span>Drug Therapy: Linkage of Population Modeling, New "Multiple Model" Dosage</span><br></blockquote><blockquote type="cite"><span>Design, Bayesian Feedback, and Individualized Target Goals. Clin.</span><br></blockquote><blockquote type="cite"><span>Pharmacokinet. 34: 57-77, 1998.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Likelihoods are greater with NP models because the distributions are not</span><br></blockquote><blockquote type="cite"><span>constrained by any assumptions about its shape, such as normal, lognormal,</span><br></blockquote><blockquote type="cite"><span>bimodal, etc. The distributions simply are what they are. There is also a</span><br></blockquote><blockquote type="cite"><span>good Monte Carlo simulation routine that can do rigorous MC simulation even</span><br></blockquote><blockquote type="cite"><span>when the basic discrete structure of a nonparametric model with its</span><br></blockquote><blockquote type="cite"><span>multiple discrete support points is preserved.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Best regards to all,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Roger Jelliffe</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Roger W. Jelliffe, M.D., F.C.P., F.A.A.C.S.</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Professor of Medicine Emeritus,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>USC School of Medicine</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Founder and Director Emeritus</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Laboratory of Applied Pharmacokinetics and Bioinformatics</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Consultant in Infectious Diseases,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Children?s Hospital of Los Angeles</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>4640 Hollywood Blvd, MS #30</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Los Angeles CA 90027</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Office - 323-361-5046</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Fax - 323-361-5045</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Cell - 626-484-5313</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span><a href="mailto:jelliffe@usc.edu">jelliffe@usc.edu</a></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span><a href="http://www.lapk.org">www.lapk.org</a></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>Quantitative approaches</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>to optimally precise individualized drug therapy</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>are more caring,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>and useful,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>scientifically, medically and socially,</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>than all the memorized words and facts</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>of categorized and classified experience</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>can ever be!</span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span>_______________________________________________</span><br></blockquote><blockquote type="cite"><span>PopModWkGrpIMAG-news mailing list</span><br></blockquote><blockquote type="cite"><span><a href="mailto:PopModWkGrpIMAG-news@simtk.org">PopModWkGrpIMAG-news@simtk.org</a></span><br></blockquote><blockquote type="cite"><span><a href="https://simtk.org/mailman/listinfo/popmodwkgrpimag-news">https://simtk.org/mailman/listinfo/popmodwkgrpimag-news</a></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><blockquote type="cite"><span></span><br></blockquote><span>-------------- next part --------------</span><br><span>An HTML attachment was scrubbed...</span><br><span>URL: <<a href="https://simtk.org/pipermail/popmodwkgrpimag-news/attachments/20151001/2f30dcb1/attachment-0001.html">https://simtk.org/pipermail/popmodwkgrpimag-news/attachments/20151001/2f30dcb1/attachment-0001.html</a>></span><br><span></span><br><span>------------------------------</span><br><span></span><br><span>_______________________________________________</span><br><span>PopModWkGrpIMAG-news mailing list</span><br><span><a href="mailto:PopModWkGrpIMAG-news@simtk.org">PopModWkGrpIMAG-news@simtk.org</a></span><br><span><a href="https://simtk.org/mailman/listinfo/popmodwkgrpimag-news">https://simtk.org/mailman/listinfo/popmodwkgrpimag-news</a></span><br><span></span><br><span></span><br><span>End of PopModWkGrpIMAG-news Digest, Vol 12, Issue 5</span><br><span>***************************************************</span><br><span></span><br></div></blockquote></body></html>