二元结果组比较的样本量计算。

上海精神医学 Pub Date : 2017-10-25 DOI:10.11919/j.issn.1002-0829.217132

Xunan Zhang, Jiangnan Lyu, Justin Tu, Jinyuan Liu, Xiang Lu

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引用次数: 3

摘要

样本量是临床研究的一个重要参数。然而，对于许多生物医学和社会心理学研究者来说，功率和样本大小分析似乎是统计学家的一个魔术。在本文中，我们通过关注二进制结果继续讨论幂和样本量计算。我们再次强调研究者和生物统计学家在建立假设和进行功率分析时密切互动的重要性。

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 Binary Outcomes.

Sample size is a critical parameter for clinical studies. However, to many biomedical and psychosocial investigators, power and sample size analysis seems like a magic trick of statisticians. In this paper, we continue to discuss power and sample size calculations by focusing on binary outcomes. We again emphasize the importance of close interactions between investigators and biostatisticians in setting up hypotheses and carrying out power analyses.

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上海精神医学

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