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Wiley Encyclopedia of Clinical Trials

Sample Size Calculation for Comparing Variabilities

Publication ,  Chapter
Wang, H; Chow, SC
January 1, 2007

In clinical research, in addition to comparing mean responses between treatment groups, it is also of interest to compare variabilities of responses between treatment groups. In practice, it is a concern that (1) larger variability may result in a worse safety profile and (2) larger variability may decrease the probability of reproducibility of the observed clinical results. Besides, efficacy and safety assessment are often done based on mean responses by assuming that the associated variabilities are the same, which may not be true in many cases. As a result, comparing variabilities of responses between treatment groups has received much attention lately. In order to achieve a desired statistical power when comparing variabilities of responses between treatment groups, commonly used procedures or formulas, which are derived based on comparing mean responses, cannot be applied directly and are necessarily modified.

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January 1, 2007

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Wang, H., & Chow, S. C. (2007). Sample Size Calculation for Comparing Variabilities. In Wiley Encyclopedia of Clinical Trials (pp. 1–15). https://doi.org/10.1002/9780471462422.eoct008
Wang, H., and S. C. Chow. “Sample Size Calculation for Comparing Variabilities.” In Wiley Encyclopedia of Clinical Trials, 1–15, 2007. https://doi.org/10.1002/9780471462422.eoct008.
Wang H, Chow SC. Sample Size Calculation for Comparing Variabilities. In: Wiley Encyclopedia of Clinical Trials. 2007. p. 1–15.
Wang, H., and S. C. Chow. “Sample Size Calculation for Comparing Variabilities.” Wiley Encyclopedia of Clinical Trials, 2007, pp. 1–15. Scopus, doi:10.1002/9780471462422.eoct008.
Wang H, Chow SC. Sample Size Calculation for Comparing Variabilities. Wiley Encyclopedia of Clinical Trials. 2007. p. 1–15.

DOI

Publication Date

January 1, 2007

Start / End Page

1 / 15