9/17/2023 0 Comments Phoenix winnonlinIn a second step handling of input datasets was implemented, supporting the modeler in setting up datasets in a correct way. In the first step, the main underlying computational functionality for NCA was implemented, allowing to use an automatic selection of PK samples to consider for the terminal slope calculation but also allowing a modeler to select these points on an individual level. The SolutionĪn agile approach to the development of such an NCA package was chosen. Additionally, functionality for efficient reporting of NCA results to Microsoft Word was sought. The goal for IntiQuan was to develop functionality in R, allowing to efficiently and reproducibly conduct script-based NCA on different types of input data, such as intravenous, bolus, and extravascular, absolute and relative (e.g., weight-based) dosing, and generating the typically required outputs in a tabular and graphical manner that are typically used in reports. Unfortunately, most of these packages lack certain functionality, user-friendliness, adequate visualization of results, or simply a good documentation and continued development. Over the last years, a multitude of open-source NCA packages have become available, allowing to script such analyses and to post-process results according to the analyst’s needs. The typical use of WinNonlin is via a graphical user interface. Commercial software Phoenix WinNonlin is the most widely used NCA tool, and as such stands as the main reference tool.
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