连续结果组间比较的样本量计算。

Julia Z Zheng, Yangyi Li, Tuo Lin, Angelica Estrada, Xiang Lu, Changyong Feng
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引用次数: 8

摘要

所有临床研究都需要样本量论证。然而,对于许多生物医学和临床研究人员来说,功率和样本量分析似乎是统计学家的一个魔术。在本文中,我们讨论了功率和样本量计算,并表明生物医学和临床研究者在使这种分析成为可能和有意义方面发挥了重要作用。因此,功效分析实际上是一个互动的过程,科研人员和统计人员在研究企业中是平等的伙伴。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Sample Size Calculations for Comparing Groups with Continuous Outcomes.

Sample size justification is required for all clinical studies. However, to many biomedical and clinical researchers, power and sample size analysis seems like a magic trick of statisticians. In this note, we discuss power and sample size calculations and show that biomedical and clinical investigators play a significant role in making such analyses possible and meaningful. Thus, power analysis is really an interactive process and scientific researchers and statisticians are equal partners in the research enterprise.

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