## Abstract This is a discussion of the paper' Sample size recalculation in internal pilot study designs' by Tim Friede and Meinhard Kieser, appearing in this special issue on adaptive designs. (Β© 2006 WILEYβVCH Verlag GmbH & Co. KGaA, Weinheim)
Internal pilot studies II: comparison of various procedures
β Scribed by David M. Zucker; Janet T. Wittes; Oliver Schabenberger; Erica Brittain
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 121 KB
- Volume
- 18
- Category
- Article
- ISSN
- 0277-6715
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β¦ Synopsis
The two-stage design involves sample size recalculation using an interim variance estimate. Stein proposed the design in 1945; biostatisticians recently have shown renewed interest in it. Wittes and Brittain proposed a modiΓΏcation aimed at greater e ciency; Gould and Shih proposed a similar procedure, but with a di erent interim variance estimate based on blinded data. We compare the power of Stein's original test, an idealized version of the Wittes-Brittain test, and a theoretical optimal test which can be approximated in practice. We also compare two procedures that control the conditional type I error rate given the actual ΓΏnal sample size: Gould and Shih's procedure and a newly proposed 'second segment' procedure. The comparison among the ΓΏrst three procedures indicates that the Stein test is, unexpectedly, the test of choice under the original design alternative, whereas the approximate-optimal and Wittes-Brittain procedures appear to have superior power for detecting smaller treatment di erences. As between the latter two procedures, the second segment procedure is more powerful when many observations are likely to be taken after the interim resizing, whereas otherwise the Gould-Shih procedure is superior.
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