Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/205408
Title: | Methods for Developing a Process Design Space Using Retrospective Data |
Author: | Romero Obon, Miquel Pérez Lozano, Pilar Rouaz El-Hajoui, Khadija Suñé- Pou, Marc Nardi Ricart, Anna Suñé Negre, Josep M. García Montoya, Encarna |
Keywords: | Disseny d'experiments Farmàcia clínica Experimental design Clinical pharmacy |
Issue Date: | 16-Nov-2023 |
Publisher: | MDPI AG |
Abstract: | Prospectively planned designs of experiments (DoEs) offer a valuable approach to preventing collinearity issues that can result in statistical confusion, leading to misinterpretation and reducing the predictability of statistical models. However, it is also possible to develop models using historical data, provided that certain guidelines are followed to enhance and ensure proper statistical modeling. This article presents a methodology for constructing a design space using process data, while avoiding the common pitfalls associated with retrospective data analysis. For this study, data from a real wet granulation process were collected to pragmatically illustrate all the concepts and methods developed in this article. |
Note: | Reproducció del document publicat a: https://doi.org/10.3390/pharmaceutics15112629 |
It is part of: | Pharmaceutics, 2023, vol. 15, num. 11 |
URI: | http://hdl.handle.net/2445/205408 |
Related resource: | https://doi.org/10.3390/pharmaceutics15112629 |
ISSN: | 1999-4923 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
Files in This Item:
File | Description | Size | Format | |
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pharmaceutics-15-02629-v2.pdf | 3.03 MB | Adobe PDF | View/Open |
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