When sample size is recalculated using unblinded interim data, use of the usual t-test at the end of a study may lead to an elevated type I error rate. This paper describes a numerical quadrature investigation to calculate the true probability of rejection as a function of the time of the recalculat
Re-calculating the sample size in internal pilot study designs with control of the type I error rate
โ Scribed by Meinhard Kieser; Tim Friede
- Publisher
- John Wiley and Sons
- Year
- 2000
- Tongue
- English
- Weight
- 161 KB
- Volume
- 19
- Category
- Article
- ISSN
- 0277-6715
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โฆ Synopsis
When designing a clinical trial, there is usually some uncertainty about the variability of the primary outcome variable. This may lead to an unnecessarily high or inadequately low sample size. The internal pilot study approach uses data from patients recruited up to an interim stage to re-estimate the variance and to re-calculate the "nal sample size accordingly. Previously, simulation studies have shown that this methodology may highly improve the chance to obtain a well-powered trial. However, it also turned out that the type I error rate may be in#ated by this procedure. We quantify the maximum excess of the type I error rate for normally distributed outcomes. If strict control of the -level is considered to be an important issue, a method is proposed to achieve this when re-calculating the sample size in internal pilot studies. The characteristics of the power distributions are investigated for various sample size adaptation rules and implications are discussed.
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