Use of a tolerance interval approach as a statistical quality control tool for traditional Chinese medicine

J Biopharm Stat. 2020 Sep 2;30(5):873-881. doi: 10.1080/10543406.2020.1757693. Epub 2020 May 12.

Abstract

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.

Keywords: Consistency; random-effects model; tolerance interval.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Computer Simulation
  • Data Interpretation, Statistical
  • Drugs, Chinese Herbal / standards*
  • Humans
  • Medicine, Chinese Traditional / standards*
  • Models, Statistical
  • Numerical Analysis, Computer-Assisted
  • Quality Control
  • Research Design / statistics & numerical data*
  • Sample Size

Substances

  • Drugs, Chinese Herbal