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. 2018 Sep;7(9):543-546.
doi: 10.1002/psp4.12339. Epub 2018 Aug 12.

The Standard Output: A Tool-Agnostic Modeling Storage Format

Nadia Terranova  1 , Mike K Smith  2 , Rikard Nordgren  3 , Emmanuelle Comets  4   5 , Marc Lavielle  6 , Kajsa Harling  3 , Andrew C Hooker  3 , Celine Sarr  7 , France Mentré  4   5 , Florent Yvon  8   9 , Maciej J Swat  8   10
Affiliations

The Standard Output: A Tool-Agnostic Modeling Storage Format

Nadia Terranova et al. CPT Pharmacometrics Syst Pharmacol. 2018 Sep.
No abstract available

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Figures

Figure 1
Figure 1
Overview of Standard Output (SO) hierarchical structure consisting of seven main sections (in gray) in turn composed of elements and child elements (from left columns to the right one). A detailed description of SO elements and format specification is reported in the user guide provided as Appendices S1. with authors permission. Figure reproduced from the SO user guide version 0.3.1. AIC, Akaike information criterion; BIC, Bayesian information criteria; CI, confidence interval; DIC, Deviance Information Criterion; FIM, Fisher Information Matrix; MLE, maximum likelihood estimation; OF, Objective Function; PDF, probability density function VPC, Visual Predictive Check.
Figure 2
Figure 2
A schematic view of a typical workflow in pharmacometric analyses supported by Drug Disease Model Resource (DDMoRe) standard formats. By encoding or generating (e.g., through the Model Description Language Integrated Development Environment (MDL‐IDE)7, 10) the relevant input information in Pharmacometrics Markup Language (PharmML), the considered modeling task (estimation, clinical trial simulation (CTS), and optimization) can be executed in any of the shown tools thanks to the developed converters. Results are then recorded in Standard Output (SO) files, which can be used in R to generate output tables and figures as well as update modeling information for subsequent tasks by using available libraries. OED, Optimal Experimental Design; SBML, Systems Biology Markup Language.
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References

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