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논문검색

A statistical method for analyzing data collected by the human skin test of cosmetics

초록

영어

Background: In a recent study, human skin tests to evaluate the wrinkles’ improvement or whitening effect were performed by previous study guideline. Concerning the data of the visual assessment and machinery evaluation of the result for the human skin test, unpaired t-test have been used in order to compare between the test and the control groups and paired t-test for the
comparison of effects for before and after treatment. The methodology and statistical analysis of American and European test centers were similar to ours. The data obtained by repeated application from identical individual has high relation. For this reason it is desirable to apply repeated measures ANOVA (RM ANOVA) to visual assessment and machinery evaluation.
Objective: The purpose of this study was to compare the usability between the RM ANOVA and the t-test. Methods: In the present investigation we researched the clinical trial
methodology, represents the clinical trial of phase III study and for the propriety investigation of statistical analysis methods for human test data of cosmetics about Repeated measures ANOVA.
Results: Our results, which were confirmed by the machinery evaluation data, showed significant improvement by repeated measures ANOVA. But this data was not statistically significant in the unpaired t-test and paired t-test. Conclusion: We suggested that RM ANOVA is the new approach to statistical analysis of human test data of cosmetics.

저자정보

  • Young Kyoung Seo Dermapro Skin Research Center
  • Hee Kyung Lee Dermapro Skin Research Center
  • Jae Sook Koh Dermapro Skin Research Center

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