Q3 Medicine
Shyam Vayyat, Nilotpal Chowdhury, Manish Goyal
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引用次数: 0

摘要

样本量计算是开展任何研究的重要步骤。大多数样本量估算实用程序/应用程序在配对设计的公式中都使用了差异标准差,但在发表的文章中通常没有报告。研究人员只能使用集合标准差(SDp),而不是使用差异标准差。差异标准差能更准确地估计配对设计的样本量。差异标准差可以通过 p 值或置信区间(CI)来确定,通常在发表的文章中都会报告 p 值或置信区间。在本文中,我们用一个例子描述并说明了如何根据 p 值或 CI 确定样本量。读者可以使用 R 软件的脚本跟随给出的示例进行学习。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sample Size Calculation for Paired t-test Using p-value and Confidence Intervals When Standard Deviation of Difference is Not Given.

Sample size calculation is an important step for carrying out any research. Most of the sample size estimating utilities/applications use the standard deviation of differences in their formula for paired design, which usually is not reported in the published articles. Researchers are left to use the pooled standard deviation (SDp) instead of using the standard deviation of differences. The standard deviation of differences gives a more accurate estimate of sample size for a paired design. The standard deviation of differences can be determined from the p-value or confidence intervals (CI), which are usually reported in the published articles. In this paper, we have described and illustrated with an example how to determine sample size from the p-value or CIs. Readers may follow the given example using scripts for software R.

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CiteScore
0.80
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