Sample size determination in step-up testing procedures for multiple comparisons with a control

Koon Shing Kwong, Siu Hung Cheung, Miin-Jye Wen

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)


Step-up procedures have been shown to be powerful testing methods in clinical trials for comparisons of several treatments with a control. In this paper, a determination of the optimal sample size for a step-up procedure that allows a pre-specified power level to be attained is discussed. Various definitions of power, such as all-pairs power, any-pair power, per-pair power and average power, in one- and two-sided tests are considered. An extensive numerical study confirms that square root allocation of sample size among treatments provides a better approximation of the optimal sample size relative to equal allocation. Based on square root allocation, tables are constructed, and users can conveniently obtain the approximate required sample size for the selected configurations of parameters and power. For clinical studies with difficulties in recruiting patients or when additional subjects lead to a significant increase in cost, a more precise computation of the required sample size is recommended. In such circumstances, our proposed procedure may be adopted to obtain the optimal sample size. It is also found that, contrary to conventional belief, the optimal allocation may considerably reduce the total sample size requirement in certain cases. The determination of the required sample sizes using both allocation rules are illustrated with two examples in clinical studies.

頁(從 - 到)2743-2756
期刊Statistics in Medicine
出版狀態Published - 2010 一月 1

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Statistics and Probability

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