Detection of Discordant Content Uniformity Observations and Compendial Compliance |
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Authors: | N. R. Bohidar Norman R. Bohidar Nicholas R. Bohidar |
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Affiliation: | a Philadelphia College of Pharmacy and Science Villanova University,b University of Washington, Seattle, Washingtonc National Computer Systems Villanova University, |
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Abstract: | A discordant observation is a data point whose value is drastically different from that of the rest of the members in the data set. In the context of content uniformity experiments, however, a discordant observation arises in two ways: (i) when the value of an observation is markedly distant from that of the other data points even though it is within the required compendial range, and (ii) when the value of an observation is outside the permissible compendial range. Several statistical tests for detecting one or more discordant observations are presented. Since discordancy distorts the symmetricity of the data, several tests of symmetricity are provided. Tests for detection of group discordancy induced by discordant samples are also included. The compendial requirements are explained in statistical terms. The impact of discordant observations on compendial compliance requirements is assessed. The statistical basis of the construction of compendial limits as well as the assumptions implicit in the construction is elaborated. The results of the statistical analysis of three content uniformity studies are appropriately interpreted. |
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