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Dynamic Modeling Using MCSim and R (SOT 2016 Biological Modeling Webinar Series)
Citation:
Setzer, Woodrow. Dynamic Modeling Using MCSim and R (SOT 2016 Biological Modeling Webinar Series). Presented at SOT 2016 Biological Modeling Webinar Series, NA, NC, February 04, 2016. https://doi.org/10.23645/epacomptox.5077702
Impact/Purpose:
Webinar presentation at the SOT Biological Modeling Webinar Series. The purpose of this talk is to describe to an audience of PBPK and other biological modelers the advantages of using the open source software packages MCSim and R ofr PBPK modeling. One of the widely used software platforms used for PBPK modeling, ACSL-X, is being discontinued by its corporate owner, and the Biological Modeling Specialty Section of the Society of Toxcology is hosting a series of webinars describing a range of alternatives.
Description:
MCSim is a stand-alone software package for simulating and analyzing dynamic models, with a focus on Bayesian analysis using Markov Chain Monte Carlo. While it is an extremely powerful package, it is somewhat inflexible, and offers only a limited range of analysis options, with no incorporated graphics. However, it is possible to combine the dynamic models described in the MCSim modeling language with a package of ode solvers in the statistical package R. R is currently one of the most widely used statistical packages, and supports an extreme range of possible analyses, including publication-quality graphics. This talk outline the steps required to use MCSim and R for dynamic modeling, and some of the resources available to facilitate their use in the analysis of physiologically-based pharmacokinetic models.
URLs/Downloads:
DOI: Dynamic Modeling Using MCSim and R (SOT 2016 Biological Modeling Webinar Series)