PKreport: report generation for checking population pharmacokinetic model assumptions

BMC Medical Informatics and Decision Making

Software

Xiaoyong Sun¹  Jun Li² 

[1] Bioinformatics and Computation Biology Program, Department of Statistics, Iowa State University, 50011, Ames, Iowa, USA;Facult é de Pharmacie, Université de Montréal, C.P. 6128H3C 3J7, Succ. Centre-ville, Montréal (Québec), Canada;Centre de Recherche Mathématiques, Université de Montréal, C.P. 6128H3C 3J7, Succ. Centre-ville, Montréal (Québec), Canada;

关键词: Exploratory Data Analysis;    Population Pharmacokinetic Model;    Model Diagnostics;    Federal Drug Administration;    Proportional Error Model;   

DOI  :  10.1186/1472-6947-11-31

 received in 2010-10-29, accepted in 2011-05-16,  发布年份 2011

来源: Springer

【 摘 要 】

BackgroundGraphics play an important and unique role in population pharmacokinetic (PopPK) model building by exploring hidden structure among data before modeling, evaluating model fit, and validating results after modeling.ResultsThe work described in this paper is about a new R package called PKreport, which is able to generate a collection of plots and statistics for testing model assumptions, visualizing data and diagnosing models. The metric system is utilized as the currency for communicating between data sets and the package to generate special-purpose plots. It provides ways to match output from diverse software such as NONMEM, Monolix, R nlme package, etc. The package is implemented with S4 class hierarchy, and offers an efficient way to access the output from NONMEM 7. The final reports take advantage of the web browser as user interface to manage and visualize plots.ConclusionsPKreport provides 1) a flexible and efficient R class to store and retrieve NONMEM 7 output, 2) automate plots for users to visualize data and models, 3) automatically generated R scripts that are used to create the plots; 4) an archive-oriented management tool for users to store, retrieve and modify figures, 5) high-quality graphs based on the R packages, lattice and ggplot2. The general architecture, running environment and statistical methods can be readily extended with R class hierarchy. PKreport is free to download at http://cran.r-project.org/web/packages/PKreport/index.html.

【 授权许可】

CC BY   
© Sun and Li; licensee BioMed Central Ltd. 2011