2010 - Berlin - Germany

PAGE 2010: Software demonstration
Harling Kajsa

Xpose and Perl speaks NONMEM (PsN)

Kajsa Harling, Sebastian Ueckert, Andrew C. Hooker, E. Niclas Jonsson and Mats O. Karlsson

Pharmacometrics group, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden

Xpose 4 is an open-source population PK/PD model building aid for NONMEM. Xpose tries to make it easier for a modeler to use diagnostics in an intelligent manner, providing a toolkit for dataset checkout, exploration and visualization, model diagnostics, candidate covariate identification and model comparison. PsN is a toolbox for population PK/PD model building using NONMEM. It has a broad functionality ranging from parameter estimate extraction from output files, data file sub setting and resampling, to advanced computer-intensive statistical methods and NONMEM job handling in large distributed computing systems. PsN includes stand-alone tools for the end-user as well as development libraries for method developers. Recent feature additions include new covariate model building methods and support for NONMEM7, utilizing its new output. Xpose and PsN include cooperative functionality to take advantage of the strong points of both programs. Through the combined use of the two programs the end user can easily compute and display various predictive checks and other diagnostics. Both Xpose and PsN are freely available at http://xpose.sourceforge.net and http://psn.sourceforge.net respectively.

[1] Jonsson, E.N. & Karlsson, M.O. (1999) Xpose--an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM. Computer Methods and Programs in Biomedicine. 58(1):51-64.
[2] Lindbom L, Ribbing J, Jonsson EN. Perl-speaks-NONMEM (PsN)--a Perl module for NONMEM related programming. Comput Methods Programs Biomed. 75(2):85-94.
[3]Lindbom L, Pihlgren P, Jonsson EN. PsN-Toolkit--a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM. Comput Methods Programs Biomed. 79(3):241-57.
[4] Hooker, A.C., C.E. Staatz, and M.O. Karlsson, Conditional weighted residuals (CWRES): a model diagnostic for the FOCE method. Pharm Res. 24(12): 2187-97.
[5] M Bergstrand, A. C. Hooker, M. O. Karlsson. Visual Predictive Checks for Censored and Categorical data. PAGE 18 (2009) Abstr 1604.
[6] M Bergstrand, A.C Hooker, J.E Wallin, M.O Karlsson. Prediction Corrected Visual Predictive Checks. ACoP (2009) Abstr F7.

Reference: PAGE 19 (2010) Abstr 1842 [www.page-meeting.org/?abstract=1842]
Software demonstration