Sample size calculation in clinical trial using R.

Suyeon Park, Yeong-Haw Kim, Hae In Bang, Youngho Park
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引用次数: 1

Abstract

Since the era of evidence-based medicine, it has become a matter of course to use statistics to create objective evidence in clinical research. As an extension of this, it has become essential in clinical research to calculate the correct sample size to demonstrate a clinically significant difference before starting the study. Also, because sample size calculation methods vary from study design to study design, there is no formula for sample size calculation that applies to all designs. It is very important for us to understand this. In this review, each sample size calculation method suitable for various study designs was introduced using the R program (R Foundation for Statistical Computing). In order for clinical researchers to directly utilize it according to future research, we presented practice codes, output results, and interpretation of results for each situation.

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应用R计算临床试验样本量。
自循证医学时代以来,在临床研究中利用统计学创造客观证据已成为理所当然的事情。作为这一点的延伸,在临床研究中,在开始研究之前计算正确的样本量以证明临床显着差异已变得至关重要。此外,由于不同研究设计的样本量计算方法不同,因此没有适用于所有设计的样本量计算公式。了解这一点对我们来说非常重要。在这篇综述中,使用R程序(R Foundation for Statistical Computing)介绍了适用于各种研究设计的每种样本量计算方法。为了便于临床研究人员根据未来的研究直接使用,我们针对每种情况提出了操作规范、输出结果和结果解释。
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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