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在进行中期样本量重新估计的临床研究中的方差估计。

Variance estimation in clinical studies with interim sample size re-estimation.

作者信息

Miller Frank

机构信息

Clinical Information Science Department, AstraZeneca, S-15185 Södertälje, Sweden.

出版信息

Biometrics. 2005 Jun;61(2):355-61. doi: 10.1111/j.1541-0420.2005.00315.x.

Abstract

We consider clinical studies with a sample size re-estimation based on the unblinded variance estimation at some interim point of the study. Because the sample size is determined in such a flexible way, the usual variance estimator at the end of the trial is biased. We derive sharp bounds for this bias. These bounds have a quite simple form and can help for the decision if this bias is negligible for the actual study or if a correction should be done. An exact formula for the bias is also provided. We discuss possibilities to get rid of this bias or at least to reduce the bias substantially. For this purpose, we propose a certain additive correction of the bias. We see in an example that the significance level of the test can be controlled when this additive correction is used.

摘要

我们考虑在研究的某个中间点基于非盲态方差估计进行样本量重新估计的临床研究。由于样本量是以这种灵活的方式确定的,所以试验结束时常用的方差估计量存在偏差。我们推导出了这种偏差的精确界限。这些界限具有相当简单的形式,并且可以帮助判断这种偏差对于实际研究是否可以忽略不计,或者是否应该进行校正。我们还提供了偏差的精确公式。我们讨论了消除这种偏差或至少大幅减少偏差的可能性。为此,我们提出了一种对偏差的特定加法校正。我们在一个例子中看到,当使用这种加法校正时,可以控制检验的显著性水平。

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