From: Ramalingam Sankaran sankaram@Stanford.Edu Subject: [NMusers] Estimation Methods-HELP!! Date: Fri, March 19, 2004 10:42 am Dear All: I wonder if any of you could suggest a publication or a text-book that would help someone WITHOUT much math. background,to understand the estimation methods(the first order, FOCE, hybrid etc.,).The Users guide seem a little daunting, and my search for a basic work to understand the concept and applications has not been fruitful. Will be grtaeful for any sugesstions. Thanks a lot Ram _______________________________________________________ From: Bhattaram, Atul BhattaramA@cder.fda.gov Subject: RE: [NMusers] Estimation Methods-HELP!! Date: Fri, March 19, 2004 10:51 am Hello Ram In my experience to understand the estimation methods etc it is better to start with fundamentals on probability theory, regression. To understand the Maximum likelhood principles etc I would recommend you to attend statistics courses in your university. Venkatesh Atul Bhattaram CDER, FDA. _______________________________________________________ From: Howard Lee hl8@georgetown.edu Subject: RE: [NMusers] Estimation Methods-HELP!! Date: Fri, March 19, 2004 11:07 am Dear Ram, I found the following book very useful. Rice,J.A., Mathematical Statistics and Data Analysis, Duxbury Press, 1995, ISBN (0-534-20934-3) Hope this helps. Thank you. Howard Lee, MD, PhD Assistant Professor Center for Drug Development Science Department of Pharmacology, Georgetown University School of Medicine, Box 571441 Washington, DC 20057-1441 USA Tel: 202-687-8198 Fax: 202-687-0193 _______________________________________________________ From: Wang, Yaning WangYA@cder.fda.gov Subject: RE: [NMusers] Estimation Methods-HELP!! Date: Fri, March 19, 2004 11:25 am The following book is an excellent resource after you learn enough statistics. "Nonlinear Models for Repeated Measurement Data" by Marie Davidian and David M. Giltinan, Chapman & Hall, ISBN 0-412-98431-9 Yaning Wang OCPB,FDA _______________________________________________________ From: Melvin S. Munsaka, PhD mmunsaka@tgrd.com Subject: RE: [NMusers] Estimation Methods-HELP!! Date: Fri, March 19, 2004 12:59 pm The following documents may also be useful. Unfortunately, I cannot promise "WITHOUT much math" as requested by Ram. I think the math cannot be avoided. http://tal.stat.umu.se/~gb/winter/homepage/nonmem.paper.pdf http://www4.stat.ncsu.edu/~davidian/timegoesby_handout.pdf http://www4.stat.ncsu.edu/~davidian/nlmmreview.pdf Melvin S. Munsaka, PhD Senior Statistician Takeda Global Research and Development Center, Inc Biometrics and Data Management, Statistics Dept 475 Half Day Road Lincolnshire, IL 60069 Phone (Direct): 847-383-7390 Phone (Toll Free): 877-872-3700 x 7390 Fax (Business): 847-383-3501 E-mail: mmunsaka@tgrd.com _______________________________________________________ From: Bachman, William (MYD) bachmanw@iconus.com Subject: RE: [NMusers] Estimation Methods-HELP!! Date: Mon, March 22, 2004 9:28 am I would recommend first reading the FDA Guidelines for population analysis (free off the web). Getting a bit dated but it's a good overview of the topic and the references are the seminal historical papers in the field. If you don't like math, this is not the best area to work in. I would also recommend putting a subject on your emails. Many people often assume an email without a topic is spam and auto-delete it. _______________________________________________________ From: Vladimir Piotrovsky, Ph.D. VPIOTROV@PRDBE.jnj.com Subject: RE: [NMusers] Estimation Methods-HELP!! Date: Mon, March 22, 2004 11:45 am Ram, I recommend two textbooks: Vonesh EF and Chinchilli VM. Linear and nonlinear models for the analysis of repeated measurements. Marcell Dekker, 1996. ISBN 0-8247-8248-8 Pinheiro JC and Bates DM. Mixed-effects in S and S-PLUS. Springer, 2000. ISBN 0-387-98957-9 The first one is somewhat similar to Davidian and Guiltinan's book, but gives a good math and stat introduction useful for a novice. Although Pinheiro and Bates' book is about S language and has no relation to NONMEM, it is useful to understand e.g. hypothesis testing associated with mixed-effects modeling. Best regards, Vladimir ----------------------------------------------------------------- Vladimir Piotrovsky, Ph.D. Research Fellow, Advanced PK-PD Modeling & Simulation Global Clinical Pharmacokinetics and Clinical Pharmacology Johnson & Johnson Pharmaceutical Research & Development Turnhoutseweg 30 B-2340 Beerse Belgium _______________________________________________________