Re: scm problem

On 28 May 2015 at 01:06, Ron Keizer <[email protected]> wrote: > hi Muhammad, > > a brief guidance on how to do a stepwise covariate search with PsN+Pirana > is given in our recent tutorial in CPT-PSP ( > http://onlinelibrary.wiley.com/doi/10.1038/psp.2013.24/abstract), in > which we used the scm tool in PsN, and Pirana to generate the scm config > file. Let me know if you don't get the example to run. (Someone reported > recently that the appendix files were not available anymore, but they are > also here: https://github.com/ronkeizer/ppx_tutorial) > > Of course—if you keep having trouble getting the scm tool to run—you > could choose to implement and run the covariate models manually: for only > five covariates there is only little gain in using the scm tool. A gentle > introduction on how to build covariate models in NONMEM is available in > chapter 5.7 of the recent book by Owen and Fiedler-Kelly ( > http://www.amazon.com/Introduction-Population-Pharmacokinetic-Pharmacodynamic-Nonlinear/dp/0470582294/ > ). > > best regards, > Ron > > PS. any Pirana-specific questions can also be posted at > http://qa.piranasoftware.com > > > On Wed, May 27, 2015 at 6:35 AM, Muhammad Usman <[email protected]> > wrote: > >> Dear NMUsers >> I am a beginner with NONMEM. I have developed a model and want to use >> AGE, WT, CRCL, SeCR and SEX as covariates on CL, V1 and V2. Can someone >> provide me the step by step guidence how can I perform this Analysis by >> using Pirana? >> >> Regards >> >> -- >> *Muhammad Usman* >> PhD Scholar >> Westfälische Wilhelms-Universität Münster >> Institut für Pharmazeutische und Medizinische Chemie >> - Klinische Pharmazie - >> Corrensstrasse 48 >> 48149 Münster >> >> Room No. A120.209 >> >> Phone: +49 251/8332171 >> >> Mob # +49 176 70962067 >> > > -- *Muhammad Usman* PhD Scholar Westfälische Wilhelms-Universität Münster Institut für Pharmazeutische und Medizinische Chemie - Klinische Pharmazie - Corrensstrasse 48 48149 Münster Room No. A120.209 Phone: +49 251/8332171 Mob # +49 176 70962067