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Group Sequential Design for Reducing Average Sample Number

Group Sequential Design for Reducing Average Sample Number

Original Research ArticleMar 30, 2018Vol. 3 No. 1 (2003)

Abstract

The study is to propose a group sequential design which reduces the average sample number in the repeated group significance tests to compare the efficacy between two treatments. As the impractical problems of clinical trials, we often need a large number of sample size when the difference between two population means is small. Thus it is necessary to devise the group sequential design for reducing the average sample number from an ethical point of view. We construct the group sequential design which has the inner boundaries intending to accept the null hypothesis at an early stage. We compare our group sequential design with the usual group sequential design in terms of the average sample number in the simulations.

Keywords: -

E-mail: cast@kmitl.ac.th

How to Cite

Douke, H. . (2018). Group Sequential Design for Reducing Average Sample Number. CURRENT APPLIED SCIENCE AND TECHNOLOGY, 17-22.

References

  • Armitage, P., McPherson, C.K. and Rowe, B.C. (1969). Repeated Significance Tests on Accumulating data, J.R. Statist. Soc. A. 132, 235-244.
  • DeMets, D.L. and Ware, J.H. (1980) Group Sequential Methods for Clinical Trials with a One-sided Hypothesis, Biometrika 67, 3, 651-660.
  • Fleming, T.R., Harrington, D.P. and O’Brien, P.C. (1984) Designs for Group and F Tests, Biometrika, 78, 1, 133-141.
  • Lan, K.K.G. and DeMets, D.L. (1983). Discrete Sequential Boundaries for Clinical Trials, Biometrika 70, 659-663.
  • O’Brien, P.C. and Fleming, T.R. (1979). A Multiple Testing Procedure for Clinical Trials, Biometrics 35, 549-556.

Author Information

Hideyuki Douke

School of Science, Tokai University, Kanagawa, Japan

About this Article

Journal

Vol. 3 No. 1 (2003)

Type of Manuscript

Original Research Article

Keywords

-

Published

30 March 2018