February 2008 Fisher/Shafer NONMEM Workshop in Seoul, South Korea

2 messages 1 people Latest: Jan 07, 2008
Dear Colleagues: Non-academic seats are still available for the seventh Fisher/Shafer NONMEM course in Seoul, South Korea. Please note that the seats offered at an academic discount are now sold out. We are pleased to offer at this course a Korean translation of our "NONMEM Concepts" manual by professor Gyu-Jeong Noh, Professor & Chairperson, Department of Clinical Pharmacology and Therapeutics, University of Ulsan College of Medicine. Course Dates: Wednesday, February 20, 2008 through Sunday, February 24, 2008 Course Location: Seoul, South Korea Course Web Site: http://www.nonmemcourse.com The Fisher/Shafer NONMEM Workshop covers NONMEM (version 6), data handling, model building, and model diagnostics. The workshop includes an extensive set of example problems ranging from simple didactic examples to demonstrate basic concepts to complex examples from the instructors' own experiences. Registrants are provided with a comprehensive set of graphical tools programmed in the R statistical language to create high-quality diagnostic and analysis plots. Registrants are also given Windows scripts to organize NONMEM analyses and provide audit trails. The distinguishing characteristic of this workshop is that each individual brings his or her laptop computer. A copy of NONMEM, the GNU Fortran Compiler, the Windows and UNIX scripts, the full set of examples, and R are all provided to the users on a USB drive (flash drive) on Thursday morning (Wednesday afternoon for those in the Introduction to NONMEM workshop or the R workshop - see below). The entire course is run from the USB drive, leaving no footprint on the registrant's computer. NONMEM is removed at the end of the course, but the other software is in the public domain and may be kept after the course. The registrant follows along with the instructors, running examples on his or her laptop as the instructor works through the concepts. Attendees may also keep the course materials (course booklets, PowerPoint files, help files, examples, and a sizeable collection of reprints) for subsequent reference. Although a wide variety of NONMEM examples are provided for training, most participants bring real data from their work to the course. Typically these are data sets that require complex models unfamiliar to the participants, or are data that have been refractory to conventional modeling approaches. The course provides an opportunity for participants to review their data with the course instructors. Typically users leave the course with the tools required to model their data and with insight into the reason the data were difficult to model. The workshop runs from Thursday morning until Sunday noon. Each day includes 6 hours of instruction, ending at 3 pm. From 3 pm until 5 pm, registrants work on either the example problems, or on a data set of the registrant's choosing (frequently a difficult problem from work). The course is intended for individuals at the intermediate level. Those without substantial NONMEM experience are urged to sign up for the beginner's workshop described below. This should be adequate preparation to allow the novice to follow the main workshop. Because NONMEM is such a flexible tool, experienced NONMEM users have found the NONMEM Workshop valuable. In part, this is because the course instructors bring their unique perspectives to the application of NONMEM to data analysis. It is also because of the breadth of examples provided. Experienced users will find the introduction on Wednesday afternoon too basic, but they may find the R workshop on Wednesday morning to be useful. This course will be based on NONMEM 6 recently released from Globomax. Wednesday Half-Day Courses Introduction to R Wednesday, 8 am - noon This course, given Wednesday morning, covers the R statistical programming language. Within the regular workshop, all participants will be introduced to the use of R to create diagnostic graphics for NONMEM. However, minimal time will be devoted to understanding the code used in these graphics. This course provides a more extensive introduction to the use of R (and the closely related language S-Plus). R is a remarkable tool for data management, graphics, and statistics. This session will focus on the use of R to read data, assemble a NONMEM dataset, perform basic statistics, and generate graphics. Introduction to NONMEM Wednesday 1 pm - 5 pm For those with little or no prior experience with NONMEM, we will provide a ½ day session on the Wednesday afternoon before the course to prepare you for the Intermediate course described above. Registrants will be taught the basics of NONMEM: 1) constructing a control stream, 2) constructing a data file, and 3) running NONMEM. The course description, schedule, and application for the workshop be found at http://www.nonmemcourse.com. Sincerely, Steven L. Shafer, MD Professor, Department of Anesthesia, Stanford University Adjunct Professor, Biopharmaceutical Sciences, UCSF Editor-in-Chief, Anesthesia & Analgesia
Dear Colleagues: Dennis and I extend our best wishes to the clinical pharmacology community for 2008. Although the academic positions are sold out, there are still a handful of regular positions available for this course. However, you will need to register within the next two weeks. We are pleased to offer at this course a Korean translation of our "NONMEM Concepts" manual by Professor Gyu-Jeong Noh, Professor & Chairperson, Department of Clinical Pharmacology and Therapeutics, University of Ulsan College of Medicine. Course Dates: Wednesday, February 20, 2008 through Sunday, February 24, 2008 Course Location: Seoul, South Korea Course Web Site: http://www.nonmemcourse.com The Fisher/Shafer NONMEM Workshop covers NONMEM (version 6), data handling, model building, and model diagnostics. The workshop includes an extensive set of example problems ranging from simple didactic examples to demonstrate basic concepts to complex examples from the instructors' own experiences. Registrants are provided with a comprehensive set of graphical tools programmed in the R statistical language to create high-quality diagnostic and analysis plots. Registrants are also given Windows scripts to organize NONMEM analyses and provide audit trails. The distinguishing characteristic of this workshop is that each individual brings his or her laptop computer. A copy of NONMEM, the GNU Fortran Compiler, the Windows and UNIX scripts, the full set of examples, and R are all provided to the users on a USB drive (flash drive) on Thursday morning (Wednesday afternoon for those in the Introduction to NONMEM workshop or the R workshop - see below). The entire course is run from the USB drive, leaving no footprint on the registrant's computer. NONMEM is removed at the end of the course, but the other software is in the public domain and may be kept after the course. The registrant follows along with the instructors, running examples on his or her laptop as the instructor works through the concepts. Attendees may also keep the course materials (course booklets, PowerPoint files, help files, examples, and a sizeable collection of reprints) for subsequent reference. Although a wide variety of NONMEM examples are provided for training, most participants bring real data from their work to the course. Typically these are data sets that require complex models unfamiliar to the participants, or are data that have been refractory to conventional modeling approaches. The course provides an opportunity for participants to review their data with the course instructors. Typically users leave the course with the tools required to model their data and with insight into the reason the data were difficult to model. The workshop runs from Thursday morning until Sunday noon. Each day includes 6 hours of instruction, ending at 3 pm. From 3 pm until 5 pm, registrants work on either the example problems, or on a data set of the registrant's choosing (frequently a difficult problem from work). The course is intended for individuals at the intermediate level. Those without substantial NONMEM experience are urged to sign up for the beginner's workshop described below. This should be adequate preparation to allow the novice to follow the main workshop. Because NONMEM is such a flexible tool, experienced NONMEM users have found the NONMEM Workshop valuable. In part, this is because the course instructors bring their unique perspectives to the application of NONMEM to data analysis. It is also because of the breadth of examples provided. Experienced users will find the introduction on Wednesday afternoon too basic, but they may find the R workshop on Wednesday morning to be useful. This course will be based on NONMEM 6 recently released from Globomax. Wednesday Half-Day Courses Introduction to R Wednesday, 8 am - noon This course, given Wednesday morning, covers the R statistical programming language. Within the regular workshop, all participants will be introduced to the use of R to create diagnostic graphics for NONMEM. However, minimal time will be devoted to understanding the code used in these graphics. This course provides a more extensive introduction to the use of R (and the closely related language S-Plus). R is a remarkable tool for data management, graphics, and statistics. This session will focus on the use of R to read data, assemble a NONMEM dataset, perform basic statistics, and generate graphics. Introduction to NONMEM Wednesday 1 pm - 5 pm For those with little or no prior experience with NONMEM, we will provide a ½ day session on the Wednesday afternoon before the course to prepare you for the Intermediate course described above. Registrants will be taught the basics of NONMEM: 1) constructing a control stream, 2) constructing a data file, and 3) running NONMEM. The course description, schedule, and application for the workshop be found at http://www.nonmemcourse.com. Sincerely, Steven L. Shafer, MD Professor of Anesthesiology, Columbia University Adjunct Professor of Anesthesia, Stanford University Adjunct Professor of Biopharmaceutical Sciences, UCSF Editor-in-Chief, Anesthesia & Analgesia