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Use of a tolerance interval approach as a statistical quality control tool for traditional Chinese medicine.
Chiang, Chieh; Lai, Yi-Hsuan; Huang, Bo-Han; Guo, Wen-Jin; Wu, Yuh-Jenn; Chang, Lien-Cheng; Hsiao, Chin-Fu.
Afiliação
  • Chiang C; Institute of Population Health Sciences, National Health Research Institutes , Zhunan, Taiwan.
  • Lai YH; Institute of Population Health Sciences, National Health Research Institutes , Zhunan, Taiwan.
  • Huang BH; Division of Biometry, Department of Agronomy, National Taiwan University , Taipei, Taiwan.
  • Guo WJ; Institute of Population Health Sciences, National Health Research Institutes , Zhunan, Taiwan.
  • Wu YJ; Department of Applied Mathematics, Chung Yuan Christian University , Chungli, Taiwan.
  • Chang LC; Food and Drug Administration, Ministry of Health and Welfare , Taipei, Taiwan.
  • Hsiao CF; Institute of Population Health Sciences, National Health Research Institutes , Zhunan, Taiwan.
J Biopharm Stat ; 30(5): 873-881, 2020 09 02.
Article em En | MEDLINE | ID: mdl-32394789
Raw materials for traditional Chinese medicine (TCM) are often from different resources and its final product may also be made by different sites. Therefore, variabilities from different resources such as site-to-site or within site component-to-component may be expected. Consequently, test for consistency in raw materials, in-process materials, and/or final product has become an important issue in the quality control (QC) process in TCM development. In this paper, a statistical QC process for raw materials and/or the final product of TCM is proposed based on a two sided [Formula: see text]-content, [Formula: see text]-confidence tolerance interval. More specifically, we construct the tolerance interval for a random-effects model to assess the QC of TCM products from different regions and possibly different product batches. The products can be claimed to be consistency when the constructed tolerance interval is within the permitted range. Given the region and batch effects, sample sizes can also be calculated to ensure the desired measure of goodness. An example is presented to illustrate the proposed approach.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Medicamentos de Ervas Chinesas / Medicina Tradicional Chinesa Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Biopharm Stat Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Projetos de Pesquisa / Medicamentos de Ervas Chinesas / Medicina Tradicional Chinesa Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: J Biopharm Stat Ano de publicação: 2020 Tipo de documento: Article