Methods for Identifying Out-of-Trend Data in Analysis of Stability Measurements–Part I: Regression Control Chart
In Part I of this article series, the regression control chart method for identifying out-of-trend data in pharmaceutical stability studies is investigated, and an improved approach is suggested.
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Abstract
The regulation of pharmaceutical stability studies still lacks universally accepted techniques regarding the identification of out-of-trend data. Three methods have been suggested for identifying out-of-trend data in pharmaceutical stability studies: the regression control chart, the by-time-point method, and the slope control chart. In Part I of this article series, the regression control chart method is investigated, and an improved approach is suggested. The method is illustrated using realistic data. In Part II, the by-time-point method and the multivariate control chart method will be discussed.
Click here to view a PDF of this article.Peer-Review Article
Submitted: March 22, 2017
Accepted: June 27, 2017
About the Authors
Máté Mihalovits is a PhD student, mihalovits@mail.bme.hu; and Sándor Kemény* is an emeritus professor, Tel.: +36 309936307, kemeny@mail.bme.hu, both at Budapest University of Technology and Economics, Faculty of Chemical Technology and Biotechnology, Department of Chemical and Environmental Process Engineering Hungary, 1111. Budapest, Műegyetem rakpart 3.
* To whom all correspondence should be addressed.
Article Details
Pharmaceutical Technology
Vol. 41, No. 11
November 2017
Pages: 46–53
Citation:
When referring to this article, please cite it as M. Mihalovits and S. Kemény, "Methods for Identifying Out-of-Trend Data in Analysis of Stability Measurements–Part I: Regression Control Chart," Pharmaceutical Technology 41 (11) 2017.
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