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Title
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Designs for two-stage intensive screening of pharmaceutical production processes
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Author
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Abstract
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| 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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Language
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English
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Source (journal)
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Statistics in Biopharmaceutical Research
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Publication
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2012
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ISSN
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1946-6315
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DOI
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10.1080/19466315.2012.698934
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Volume/pages
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4
:4
(2012)
, p. 336-347
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ISI
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000309751000003
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Full text (Publisher's DOI)
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