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dc.contributor.advisor Kryshchenko, Dr. Alona
dc.contributor.author Lee, Seungju
dc.date.accessioned 2019-01-08T16:00:12Z
dc.date.available 2019-01-08T16:00:12Z
dc.date.issued 2018-12
dc.identifier.uri http://hdl.handle.net/10211.3/207594
dc.description.abstract Packaging/repackaging is essential to ensure pharmaceutical product’s stability (i.e. efficacy and safety). Before processing to package/repackage products into container/closures, there must be evidence to verify its stability. The most common verification methods are real-time study and statistical analysis. Real-time study can be very accurate, but it is also timeconsuming, which is inadequate for industry use. On the other hand, statistical analysis is appropriate for industry use since it can take short-term data and obtain the results quickly. In particular, we apply regression analysis on pharmaceutical product container/closure data along its decision-making framework to determine a container height 95% confidence interval and estimate the shelf life. Using a freeware program R, we are able to conduct the analysis more quickly and efficiently. en_US
dc.format.extent 55 en_US
dc.language.iso en_US en_US
dc.publisher California State University Channel Islands en_US
dc.subject Mathematics thesis en_US
dc.subject Regression analysis en_US
dc.subject Repackaging Pharmaceutical Products en_US
dc.subject Drug stability en_US
dc.subject Stability for container/closure configuration en_US
dc.subject Stability for assay and dissolution en_US
dc.title Statistical Analysis of Stability of Repacked Pharmaceutical Products en_US
dc.type Thesis en_US
dc.contributor.committeeMember Garcia, Dr. Jorge
dc.contributor.committeeMember Sittinger, Dr. Brian
dc.contributor.committeeMember Özturgut, Dr. Osman

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