Title
Designs for two-stage intensive screening of pharmaceutical production processes Designs for two-stage intensive screening of pharmaceutical production processes
Author
Faculty/Department
Faculty of Applied Economics
Publication type
article
Publication
Subject
Economics
Pharmacology. Therapy
Computer. Automation
Source (journal)
Statistics in biopharmaceutical research
Volume/pages
4(2012) :4 , p. 336-347
ISSN
1946-6315
ISI
000309751000003
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Optimization of a pharmaceutical production process requires intensive screening to determine which factors from a predetermined list affect the properties of the product. The screening is called intensive because two-factor interactions (2fi) are likely to occur. Therefore, identification of main effects in an intensive screening situation requires a statistical design that permits estimation of these effects independent from estimation of 2fi. A recently completed catalog offers many two-level designs with 32, 40, and 48 runs that are suitable for this purpose. However, there may be practical reasons to divide the runs of a design into two equally sized blocks. In this article, I consider optimum blocking for the two-level designs in the catalog. This article has supplementary materials online.
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