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Estimating the sample size for a pilot randomised trial to minimise the overall trial sample size for the external pilot and main trial for a continuous outcome variable.

机译:估计试验随机试验的样本量,以最小化外部试验的总体试验样本和连续结果变量的主要试验。

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摘要

Sample size justification is an important consideration when planning a clinical trial, not only for the main trial but also for any preliminary pilot trial. When the outcome is a continuous variable, the sample size calculation requires an accurate estimate of the standard deviation of the outcome measure. A pilot trial can be used to get an estimate of the standard deviation, which could then be used to anticipate what may be observed in the main trial. However, an important consideration is that pilot trials often estimate the standard deviation parameter imprecisely. This paper looks at how we can choose an external pilot trial sample size in order to minimise the sample size of the overall clinical trial programme, that is, the pilot and the main trial together. We produce a method of calculating the optimal solution to the required pilot trial sample size when the standardised effect size for the main trial is known. However, as it may not be possible to know the standardised effect size to be used prior to the pilot trial, approximate rules are also presented. For a main trial designed with 90% power and two-sided 5% significance, we recommend pilot trial sample sizes per treatment arm of 75, 25, 15 and 10 for standardised effect sizes that are extra small (≤0.1), small (0.2), medium (0.5) or large (0.8), respectively.
机译:在计划临床试验时,不仅对于主要试验,而且对于任何初步试验性试验,样本量的合理性都是重要的考虑因素。当结果是连续变量时,样本量计算需要对结果度量的标准偏差进行准确估计。可以使用试验性试验来获得标准偏差的估计值,然后可以将其用于预测在主要试验中可以观察到的结果。但是,一个重要的考虑因素是,试点试验经常会错误地估算标准差参数。本文探讨了如何选择外部试点试验的样本量,以最小化整个临床试验计划的样本量,即将试点和主要试验合在一起。当已知主要试验的标准化效应量时,我们提供一种计算所需试验试验样本量的最佳解决方案的方法。但是,由于可能无法在试验之前知道要使用的标准化效果量,因此还提供了近似规则。对于设计为具有90%功效和两侧5%显着性的主要试验,我们建议每个治疗臂的试验性试验样本量分别为75、25、15和10,以使标准效应量过小(≤0.1),小(0.2) ),中(0.5)或大(0.8)。

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