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TWO‐stage sampling in pharmaceutical applications
Author(s) -
Shao Jun,
Chow SheinChung
Publication year - 1993
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780122104
Subject(s) - sampling (signal processing) , lot quality assurance sampling , computer science , statistics , variance (accounting) , multistage sampling , sampling design , stage (stratigraphy) , quality assurance , sample size determination , confidence interval , product (mathematics) , mathematics , medicine , paleontology , population , environmental health , accounting , filter (signal processing) , external quality assessment , geometry , business , computer vision , biology , pathology
In the pharmaceutical industry, some tests for quality assurance before, during and after the manufacture of a drug product involve a two‐stage sampling technique. We propose statistical testing procedures in a two‐stage sampling problem with large within‐class sample sizes. We also derive a two‐stage sampling plan by minimizing the expected squared volume )or the generalized variance( of the confidence region related to the test. We present two examples to illustrate the proposed methods.